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job-postings/07-01-2025/1.txt

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+About Agoda
+
+Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more . Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
+
+Our Purpose – Bridging the World Through Travel 
+
+We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
+
+We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
+
+Get to Know our Team
+
+The Data department oversees all of Agoda’s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company’s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
+
+The Opportunity
+
+Our mission is to empower Agoda employees with an optimal set of tools that will enable them to make the best decisions and build state of the art features and models for Agoda’s end users by leveraging the data we collect. As an ML Technical Product Manager, you will be responsible for the internal product requirements, analysis, ideation, feature design, roadmap, project management, trainings and the quality of our solutions. You will conceptualize platform capabilities to empower the rest of the organization to build great external customer experiences, continuing our efforts being a data driven company.
+
+In This Role, You’ll Get to
+
+Own the product from concept to design, specification, implementation, and analysis 
+Gather and synthesize requirements and input from multiple stakeholders (internal product teams, engineers, business teams, marketing, finance, etc.) 
+Lead in-person conversations with internal customers to understand users, priorities, and feature considerations 
+Demonstrate strong leadership, organizational and execution skills, to drive product development projects from concept to launch, and operate in a fast- paced setting 
+Excellent leadership and communication skills. Expected to be asking questions, listening, driving team alignment, and influencing without authority across all levels of the organization. 
+Bridge business and technical worlds very well, a good conceptual problem solver to articulate opportunities and solutions Internal 
+Technical confidence. You’ll need to work with senior engineers to balance product velocity and technical debt tradeoffs 
+
+What You’ll Need To Succeed
+
+5+ years of technical experience in ML engineering, Data Scientist, Data Analytics, or related role 
+2+ years of technical program/product management experience in a fast-paced environment. 
+Excellent interpersonal skills, energetic, and a self-starter. 
+Excellent presentation skills. 
+Strong organizational skills along with demonstrated ability to manage multiple tasks simultaneously and able to react to shifting priorities to meet business need 
+Effective communicator (written and verbal). Able to communicate effectively with both business and technical teams. 
+Demonstrated analytical and quantitative skills. You use data to make decisions and are comfortable gathering it yourself or working with others to gather it. 
+Hands-on experience with product management tools (JIRA etc ) 
+A problem-solving mindset 
+Strong technical background in the Data Science and ML world 
+The ability and positive mindset to “figure things out.” 
+This position requires a successful candidate to relocate fully to Bangkok, Thailand, where relocation support is provided.
+
+#sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #washdc #sydney #melbourne #perth #vienna #graz #baku #brussels #rio #toronto #vancouver #montreal #Ostrava #copenhagen #estonia #helsinki #paris #nice #marseille #rouen #lyon #berlin #munich #hamburg #stuttgart #cologne #frankfurt #dusseldorf #dortmund #essen #Bremen #leipzig #dresden #hanover #nuremberg #athens #hongkong #budapest #dublin #telaviv #milan #rome #naples #turin #palermo #venice #bologna #florence #tokyo #osaka #yokohama #nagoya #okinawa #fukuoka #sapporo #luxembourg #kualalumpur #amsterdam #oslo #jerusalem #warsaw #krakow #porto #loures #newdelhi #doha #bucharest #moscow #saintpetersburg #singapore #bratislava #seoul #barcelona #madrid #valencia #seville #stockholm #zurich #geneva #basel #taipei #bangkok #istanbul #dubai #abudhabi #london #manchester #edinburgh #hanoi #IT #4 #5
+
+Equal Opportunity Employer 
+
+At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
+
+We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy .
+
+To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.

job-postings/07-01-2025/10.txt

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+GEICO's Enterprise Voice team is seeking an experienced Machine Learning Engineer to reimagine our customers’ contact center experience. You will help drive our insurance business transformation as we redefine experience for our customers.
+
+You will join a team of skilled software engineers as a resident AI/ML expert, supporting multiple AI automation initiatives across the contact center. We are looking for a motivated, high-energy, self-starter and problem solver with a positive attitude, and solid interpersonal and communication skills.
+
+Position Description
+
+Our Senior Machine Learning Engineer is a mid-level member of the Voice engineering staff ensuring we provide innovative experiences and operational excellence to our contact center agents, supervisors and customers. Our team thrives and succeeds in delivering high-quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge in AI language services, Natural Language Processing and Generative AI.
+
+Responsibilities
+
+Ability to think creatively to find innovative solutions to complex ill-defined problems
+Stay abreast of the latest developments in AI, incorporating new techniques and methodologies into our processes to keep us ahead in the insurance industry
+Provides machine learning expertise within a team's functional area 
+Consistently writes production-ready code with defined standards of readability, maintainability, reliability and testability. Helps junior team members to produce the same. 
+Participates in the formulation of non-functional requirements 
+Specifies the design and implementation of software modules based upon system requirements and architectural guidance 
+
+Basic Qualifications:
+
+Strong foundation in Machine Learning and Artificial Intelligence
+Experienced in Natural Language Processing and AI language services
+Knowledgeable in Generative AI, Large Language Models, OpenAI APIs, prompt engineering
+Familiar with Responsible AI principles, model evaluation and monitoring
+Strong Python and SQL programming skills. Experience using Jupyter notebooks or similar tools. Experience with Github or other source code management platforms
+Experience building configurable AI/ML data pipelines through the complete ML Ops lifecycle. 
+Working knowledge of Big Data technologies such as Spark, Data lake, MLflow, Snowflake, Elasticsearch. 
+Experience with cloud providers, preferably Amazon Web Services and/or Azure
+Ability to explain AI/ML concepts to technical and non-technical audience
+Ability to coach and guide other engineers in shaping ill-defined data needs into concrete project deliverables
+Ability to develop collaborative relationships with multi-functional teams
+
+Preferred Qualifications
+
+Generative AI Retrieval Augmented Generation and AI agents
+Experience working with chatbots and Conversational AI
+Developing omni-channel (voice, chat, SMS) Contact Center solutions including natural language processing and speech-enabled grammar
+Experience with Amazon Web Services including Sagemaker, Bedrock, Lambda, S3, Connect, Lex, DynamoDB, API Gateway, CloudWatch
+Experience with Machine Learning frameworks and tools like TensorFlow, PyTorch, Scikit-learn. 
+Familiar with Microservices development, Swagger, Postman
+Building test suite and frameworks to automate end to end testing 
+Experience with open source libraries and frameworks
+Experience working in an Agile environment (Scrum, Kanban, SAFe) 
+
+Experience
+
+4+ years of hands-on experience in building AI/ML solutions in a production environment 
+4+ years of professional software development experience
+2+ years of experience with architecture and design
+2+ years of experience in open source frameworks
+1+ years of experience with AWS, GCP, Azure, or another cloud service
+1+ years of experience in Natural Language Processing, Generative AI or Language services 
+
+Education
+
+Bachelor's degree in Computer Science, Information Systems, Engineering or equivalent education or work experience. Master’s degree preferred.
+
+Annual Salary
+
+$70,000.00 - $230,000.00
+
+The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
+
+At this time, GEICO will not sponsor a new applicant for employment authorization for this position.
+
+Benefits:
+
+As an Associate, you’ll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and well-being, including:
+
+Premier Medical, Dental and Vision Insurance with no waiting period**
+Paid Vacation, Sick and Parental Leave
+401(k) Plan
+Tuition Reimbursement
+Paid Training and Licensures
+Benefits may be different by location. Benefit eligibility requirements vary and may include length of service. 
+Coverage begins on the date of hire. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect. 
+
+The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
+
+GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

job-postings/07-01-2025/2.txt

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+Job Description
+
+We are looking for experienced individuals who are highly independent and passionate about working in dual roles as a full-stack developer as well as a machine learning engineer to support advanced manufacturing capabilities. Innovative thinkers who are highly interested in explorations, pathfinding, and piloting new capabilities using Predictive Modeling, Deep Learning, Computer Vision, Generative AI, Natural Language Processing, ML-based optimization/simulation, and other techniques Intel Foundry Manufacturing customers. If you're passionate about blending digital innovation with machine learning technicalities and want to be part of Foundry Manufacturing's cutting-edge transformation, we want to hear from you! Apply now, and let's build the future of Emerging Technology Solutions together.
+
+Responsibilities
+
+Uses modern software development methodologies and programming languages to solve overarching manufacturing needs.
+Familiar with Machine Learning Algorithms and LLM integration.
+Develop and maintain technical documentation and gather requirements for new business capabilities.
+Collaborate with a dream team of innovators/developers across Agile Release Train (ART) to deliver state-of-the-art software/ML solutions.
+Collaborate with cross-functional teams to Collect business requirements and convert them into technical specifications.
+Design, develop, test, deploy, and maintain Software and Data Platform technology stack
+Keeping up to date with modern data engineering technologies through the designing, developing, and validation of ML solutions.
+
+Qualifications
+
+Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.
+
+Minimum Qualifications
+
+Bachelors degree in Computer Science, Engineering degree, or related discipline.
+3+ years of experience designing, building, deploying, and/or maintaining software/ML solutions.
+Strong knowledge in building web and mobile applications and/or integrating RESTful APIs.
+Strong experience in Angular 16+, .NET Core, C#, Python, SQL Database, HTML and/or JavaScript.
+Knowledge of big and fast data technologies (Scala, Spark, Cassandra, Hadoop, etc.) and/or rapid prototyping frameworks (RTOS, ADTF, DDS) including Large Language Models (LLMs).
+Excellent verbal and written communication skills
+Upper Intermediate to Advanced English level.
+
+Preferred Qualifications
+
+Result-oriented team player with strong problem-solving skills, and the ability to work across multiple teams.
+Knowledge in building machine learning workflows necessary to productize AI platforms, self-service AI solutions, or AI models and sustain them in production.
+Responsible for preparing data for ML models at scale, building appropriate inference interfaces for ML model consumption, and enabling MLOps for continuous delivery platforms, scaled/POR integration, deployment, adoption, and support.
+
+Inside this Business Group
+
+Intel makes possible the most amazing experiences of the future. You may know us for our processors. But we do so much more. Intel invents at the boundaries of technology to make amazing experiences possible for business and society, and for every person on Earth. Harnessing the capability of the cloud, the ubiquity of the Internet of Things, the latest advances in memory and programmable solutions, and the promise of always-on 5G connectivity, Intel is disrupting industries and solving global challenges. Leading on policy, diversity, inclusion, education and sustainability, we create value for our stockholders, customers, and society.
+
+Posting Statement
+
+All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
+
+Benefits
+
+We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.
+
+Working Model
+
+This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

job-postings/07-01-2025/3.txt

@@ -0,0 +1,53 @@
+P-1131
+
+At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world.
+
+You’ll work with teams across Databricks to conduct foundational research into the feasibility and effectiveness of solutions that help customers analyze data using natural language, and then bring those solutions into our products to make data analysis easier and more approachable for all of our customers. More broadly, our teams work on some of the hardest, most interesting problems facing the business, ranging from designing large-scale distributed AI/ML systems, to optimizing distributed GPU model serving to developing novel modeling methodologies that scale to production use cases.
+
+The Impact You Will Have
+
+Shape the direction of our applied ML areas and intelligence features in our products, helping customers translate unstructured text into structured code, queries and data.
+Drive the development and deployment of state-of-the-art AI models and systems that directly impact the capabilities and performance of Databricks' products and services.
+Architect and implement robust, scalable ML infrastructure, including data storage, processing, and model serving components, to support seamless integration of AI/ML models into production environments.
+Develop novel data collection, fine-tuning, and pre-training strategies that achieve optimal performance on specific tasks and domains.
+Design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation and iteration.
+Implement advanced model compression and optimization techniques to reduce the resource footprint of language models while preserving their performance
+Contribute to the broader AI community by publishing research, presenting at conferences, and actively participating in open-source projects, enhancing Databricks' reputation as an industry leader.
+
+What We Look For
+
+PhD in Computer Science, strongly preferred, or a related field or equivalent practical experience
+2-5 years of machine learning engineering experience in high-velocity, high-growth companies. Alternatively, a strong background in relevant ML research in academia will be considered as an equivalent qualification.
+Experience developing AI/ML systems at scale in production or in high-impact research environments.
+Strong track record of working with language modeling technologies. This could include the following: Developing generative and embedding techniques, modern model architectures, fine tuning / pre-training datasets, and evaluation benchmarks.
+Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment.
+Experience deploying and scaling language models in production; deep understanding of the unique infrastructure challenges posed by training and serving LLMs.
+Strong understanding of computer science fundamentals.
+Prior experience with Natural Language Processing and transforming unstructured text into structured code, queries and data is a plus.
+Contributions to well-used open-source projects.
+
+Please note we are open to employees working from our Mountain View, CA office for this position. 
+
+Pay Range Transparency
+
+Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
+
+Local Pay Range
+
+$166,000—$210,250 USD
+
+About Databricks
+
+Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
+
+Benefits
+
+At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
+
+Our Commitment to Diversity and Inclusion
+
+At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
+
+Compliance
+
+If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

job-postings/07-01-2025/4.txt

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+About The Team
+
+Come help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on talented engineers to help us create and maintain a 24x7, no downtime, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashers.
+
+About The Role
+
+At DoorDash, our Data Scientists and ML Engineers have the opportunity to dive into a wealth of delivery data to improve company-wide ML workflows such as Search & Recommendations, Dasher Assignment, ETA Prediction, and Dasher Capacity Planning. You will join a small team to build systems that empower efficient machine learning at scale. This is a hybrid opportunity in San Francisco, Sunnyvale or Seattle.
+
+You’re Excited About This Opportunity Because You Will…
+
+Build a world-class ML platform where models are developed, trained, and deployed seamlessly
+Work closely with Data Scientists and Product Engineers to evolve the ML platform as per their use cases 
+You will help build high performance and flexible pipelines that can rapidly evolve to handle new technologies, techniques and modeling approaches
+You will work on infrastructure designs and solutions to store trillions of feature values and power hundreds of billions of predictions a day
+You will help design and drive directions for the centralized machine learning platform that powers all of DoorDash's business.
+Improve the reliability, scalability, and observability of our training and inference infrastructure.
+
+We’re Excited About You Because…
+
+B.S., M.S., or PhD. in Computer Science or equivalent
+Exceptionally strong knowledge of CS fundamental concepts and OOP languages
+6+ years of industry experience in software engineering
+Prior experience building machine learning systems in production such as enabling data analytics at scale
+Prior experience in machine learning - you've developed and deployed your own models - even if these are simple proof of concepts
+Systems Engineering - you've built meaningful pieces of infrastructure in a cloud computing environment. Bonus if those were data processing systems or distributed systems
+
+Nice To Haves
+
+Experience with challenges in real-time computing
+Experience with large scale distributed systems, data processing pipelines and machine learning training and serving infrastructure
+Familiar with Pandas and Python machine learning libraries and deep learning frameworks such as PyTorch and TensorFlow
+Familiar with Spark, MLLib, Databricks,MLFlow, Apache Airflow, Dagster and similar related technologies.
+Familiar with large language models like GPT, LLAMA, BERT, or Transformer-based architectures
+Familiar with a cloud based environment such as AWS
+
+Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
+
+We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
+
+The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
+
+Compensation
+
+The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.
+
+In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.
+
+DoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package for all regular employees that includes a 401(k) plan with an employer match, paid time off, paid parental leave, wellness benefits, and several paid holidays. Paid sick leave in compliance with applicable laws (i.e. Colorado Healthy Families and Workplaces Act).
+
+Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, disability and basic life insurance, family-forming assistance, a commuter benefit match, and a mental health program, among others.
+
+To learn more about our benefits, visit our careers page here.
+
+The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, Maryland, New Jersey, New York and Washington.
+
+I4
+
+$119,100—$175,100 USD
+
+I5
+
+$145,000—$213,200 USD
+
+I6
+
+$171,600—$252,400 USD
+
+About DoorDash
+
+At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.
+
+DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
+
+Our Commitment to Diversity and Inclusion
+
+We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
+
+Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.
+
+Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
+
+If you need any accommodations, please inform your recruiting contact upon initial connection.

job-postings/07-01-2025/5.txt

@@ -0,0 +1,52 @@
+Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.
+
+Join Affirm’s ML Fraud team as a Machine Learning Engineer II and advance our capabilities in detecting and preventing online fraud. Leverage cutting-edge algorithms and proprietary data to outsmart fraudsters while ensuring seamless experiences for genuine customers. Your work will directly impact Affirm's financial performance by developing sophisticated models for real time transaction decisions.
+
+Collaborate with experts to tackle complex challenges, create innovative solutions for emerging fraud patterns, and advance our fraud detection capabilities. If you're passionate about machine learning, thrive on challenges, and want to make a tangible difference in fintech, Affirm is your opportunity. Help us create honest financial products that improve lives while growing your career in a dynamic, impactful environment.
+
+What You'll Do
+
+Use Affirm’s proprietary and other third party data to develop machine learning models that predict the likelihood of fraud. These models will protect victims’ identities from being stolen, prevent Affirm from incurring financial loss, and increase the trust that consumers and partners have in the Affirm ecosystem. 
+Partner with the ML platform team to build fraud specific ML infrastructure 
+Research ground breaking solutions and develop prototypes that drive the future of fraud decisioning at Affirm 
+Implement and scale data pipelines, new features, and algorithms that are essential to our production models 
+Collaborate with the engineering, fraud, and product teams to define requirements for new products 
+Develop fraud models to maximize user conversion while minimizing fraud losses and data costs. 
+
+What We Look For
+
+2+ years of experience as a machine learning engineer or PhD in a relevant field 
+Proficiency in machine learning with experience in areas such as gradient boosting, online learning, and deep learning. Domain knowledge in fraud risk is a plus 
+Strong programming skills in Python 
+Experience using large scale distributed systems like Spark and Ray 
+Experience using machine learning frameworks such as scikit-learn, pandas, numpy, xgboost, and pytorch 
+Excellent written and oral communication skills and the capability to drive cross-functional requirements with product and engineering teams 
+The ability to present technical concepts and results in an audience-appropriate way 
+Persistence, patience and a strong sense of responsibility – we build the decision making that enables consumers and partners to place their trust in Affirm! 
+
+Base Pay Grade - L
+
+Equity Grade - 5
+
+Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
+
+Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company).
+
+CAN base pay range per year: $125,000 - $175,000
+
+Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.
+
+Benefits
+
+We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:
+
+Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents 
+Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
+Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
+ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
+
+We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.
+
+[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.
+
+By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

job-postings/07-01-2025/6.txt

@@ -0,0 +1,59 @@
+Overview
+
+Working at Atlassian
+
+Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
+
+Responsibilities
+
+Atlassian is looking for a Principal Data Scientist to be the wizard who will uncover valuable insights from customer friction which will help the business improve our products. We're looking for someone with superb business instincts, comfort with executive stakeholders, proficiency in statistical analyses, expertise in NLP/LLM, experience partnering with cross-functional teams, and mentoring others on the team. This role aims to leverage basic analytics, NLP/LLM, and data science methods to identify areas of customer friction from variety of customer interaction channels and build tools and solutions that will help us identify areas to improve our products. This role is part of Service Enablement Team within Customer Support Organization.
+
+Responsibilities
+
+Influence strategy & important decisions around customer friction by surfacing data driven insights.
+Define, set and report on department level metrics or KRs to the CSS Executive team
+Build and implement measurement frameworks, machine learning models and NLP/LLM tooling to accelerate Atlassian’s growth and improve product quality.
+Foster a world-class Data Science culture by leading training on technical concepts, driving continuous learning and mentoring Data Scientists on the team
+
+
+Qualifications
+
+Experience applying your Data Science skills to identify and lead projects which have had impact on business strategy and performance
+8+ years of experience in Data Science or related fields. (Preferred - 10+ years experience with a post-graduate degree in a quantitative discipline like Statistics, Mathematics, Econometrics, Computer science)
+Expertise in applying a broad variety of ML methods including NLP and LLM to solve business problems and a strong sense of when to apply them to the problem at hand
+Experience in managing ML projects end-to-end including deployment and monitoring.
+Expertise in SQL and a high level of proficiency in another data science programming language (e.g Python, R) with expertise in libraries like Pandas, Numpy, Scikit-learn etc.
+A very high bar for output quality, while balancing "having something now" vs. "perfection in the future"
+Comfort explaining complex concepts to diverse audiences and creating compelling stories for non-data experts
+Proficiency in visualization tools (e.g. Streamlit, Tableau) 
+
+
+Qualifications
+
+Compensation
+
+At Atlassian, We Strive To Design Equitable, Explainable, And Competitive Compensation Programs. To Support This Goal, The Baseline Of Our Range Is Higher Than That Of The Typical Market Range, But In Turn We Expect To Hire Most Candidates Near This Baseline. Base Pay Within The Range Is Ultimately Determined By a Candidate's Skills, Expertise, Or Experience. In The United States, We Have Three Geographic Pay Zones. For This Role, Our Current Base Pay Ranges For New Hires In Each Zone Are:
+
+Zone A: $175,100 - $233,400
+
+Zone B: $157,500 - $210,100
+
+Zone C: $145,300 - $193,700
+
+This role may also be eligible for benefits, bonuses, commissions, and equity.
+
+Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
+
+Our Perks & Benefits
+
+Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.
+
+About Atlassian
+
+At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
+
+We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
+
+To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
+
+To learn more about our culture and hiring process, visit go.atlassian.com/crh .

job-postings/07-01-2025/7.txt

@@ -0,0 +1,79 @@
+GEICO's Enterprise Voice team is seeking an experienced Machine Learning Engineer to reimagine our customers’ contact center experience. You will help drive our insurance business transformation as we redefine experience for our customers.
+
+You will join a team of skilled software engineers as a resident AI/ML expert, supporting multiple AI automation initiatives across the contact center. We are looking for a motivated, high-energy, self-starter and problem solver with a positive attitude, and solid interpersonal and communication skills.
+
+Position Description
+
+Our Senior Machine Learning Engineer is a mid-level member of the Voice engineering staff ensuring we provide innovative experiences and operational excellence to our contact center agents, supervisors and customers. Our team thrives and succeeds in delivering high-quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge in AI language services, Natural Language Processing and Generative AI.
+
+Responsibilities
+
+Ability to think creatively to find innovative solutions to complex ill-defined problems
+Stay abreast of the latest developments in AI, incorporating new techniques and methodologies into our processes to keep us ahead in the insurance industry
+Provides machine learning expertise within a team's functional area 
+Consistently writes production-ready code with defined standards of readability, maintainability, reliability and testability. Helps junior team members to produce the same. 
+Participates in the formulation of non-functional requirements 
+Specifies the design and implementation of software modules based upon system requirements and architectural guidance 
+
+Basic Qualifications:
+
+Strong foundation in Machine Learning and Artificial Intelligence
+Experienced in Natural Language Processing and AI language services
+Knowledgeable in Generative AI, Large Language Models, OpenAI APIs, prompt engineering
+Familiar with Responsible AI principles, model evaluation and monitoring
+Strong Python and SQL programming skills. Experience using Jupyter notebooks or similar tools. Experience with Github or other source code management platforms
+Experience building configurable AI/ML data pipelines through the complete ML Ops lifecycle. 
+Working knowledge of Big Data technologies such as Spark, Data lake, MLflow, Snowflake, Elasticsearch. 
+Experience with cloud providers, preferably Amazon Web Services and/or Azure
+Ability to explain AI/ML concepts to technical and non-technical audience
+Ability to coach and guide other engineers in shaping ill-defined data needs into concrete project deliverables
+Ability to develop collaborative relationships with multi-functional teams
+
+Preferred Qualifications
+
+Generative AI Retrieval Augmented Generation and AI agents
+Experience working with chatbots and Conversational AI
+Developing omni-channel (voice, chat, SMS) Contact Center solutions including natural language processing and speech-enabled grammar
+Experience with Amazon Web Services including Sagemaker, Bedrock, Lambda, S3, Connect, Lex, DynamoDB, API Gateway, CloudWatch
+Experience with Machine Learning frameworks and tools like TensorFlow, PyTorch, Scikit-learn. 
+Familiar with Microservices development, Swagger, Postman
+Building test suite and frameworks to automate end to end testing 
+Experience with open source libraries and frameworks
+Experience working in an Agile environment (Scrum, Kanban, SAFe) 
+
+Experience
+
+4+ years of hands-on experience in building AI/ML solutions in a production environment 
+4+ years of professional software development experience
+2+ years of experience with architecture and design
+2+ years of experience in open source frameworks
+1+ years of experience with AWS, GCP, Azure, or another cloud service
+1+ years of experience in Natural Language Processing, Generative AI or Language services 
+
+Education
+
+Bachelor's degree in Computer Science, Information Systems, Engineering or equivalent education or work experience. Master’s degree preferred.
+
+Annual Salary
+
+$70,000.00 - $230,000.00
+
+The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
+
+At this time, GEICO will not sponsor a new applicant for employment authorization for this position.
+
+Benefits:
+
+As an Associate, you’ll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and well-being, including:
+
+Premier Medical, Dental and Vision Insurance with no waiting period**
+Paid Vacation, Sick and Parental Leave
+401(k) Plan
+Tuition Reimbursement
+Paid Training and Licensures
+Benefits may be different by location. Benefit eligibility requirements vary and may include length of service. 
+Coverage begins on the date of hire. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect. 
+
+The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
+
+GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

job-postings/07-01-2025/8.txt

@@ -0,0 +1,79 @@
+GEICO's Enterprise Voice team is seeking an experienced Machine Learning Engineer to reimagine our customers’ contact center experience. You will help drive our insurance business transformation as we redefine experience for our customers.
+
+You will join a team of skilled software engineers as a resident AI/ML expert, supporting multiple AI automation initiatives across the contact center. We are looking for a motivated, high-energy, self-starter and problem solver with a positive attitude, and solid interpersonal and communication skills.
+
+Position Description
+
+Our Senior Machine Learning Engineer is a mid-level member of the Voice engineering staff ensuring we provide innovative experiences and operational excellence to our contact center agents, supervisors and customers. Our team thrives and succeeds in delivering high-quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge in AI language services, Natural Language Processing and Generative AI.
+
+Responsibilities
+
+Ability to think creatively to find innovative solutions to complex ill-defined problems
+Stay abreast of the latest developments in AI, incorporating new techniques and methodologies into our processes to keep us ahead in the insurance industry
+Provides machine learning expertise within a team's functional area 
+Consistently writes production-ready code with defined standards of readability, maintainability, reliability and testability. Helps junior team members to produce the same. 
+Participates in the formulation of non-functional requirements 
+Specifies the design and implementation of software modules based upon system requirements and architectural guidance 
+
+Basic Qualifications:
+
+Strong foundation in Machine Learning and Artificial Intelligence
+Experienced in Natural Language Processing and AI language services
+Knowledgeable in Generative AI, Large Language Models, OpenAI APIs, prompt engineering
+Familiar with Responsible AI principles, model evaluation and monitoring
+Strong Python and SQL programming skills. Experience using Jupyter notebooks or similar tools. Experience with Github or other source code management platforms
+Experience building configurable AI/ML data pipelines through the complete ML Ops lifecycle. 
+Working knowledge of Big Data technologies such as Spark, Data lake, MLflow, Snowflake, Elasticsearch. 
+Experience with cloud providers, preferably Amazon Web Services and/or Azure
+Ability to explain AI/ML concepts to technical and non-technical audience
+Ability to coach and guide other engineers in shaping ill-defined data needs into concrete project deliverables
+Ability to develop collaborative relationships with multi-functional teams
+
+Preferred Qualifications
+
+Generative AI Retrieval Augmented Generation and AI agents
+Experience working with chatbots and Conversational AI
+Developing omni-channel (voice, chat, SMS) Contact Center solutions including natural language processing and speech-enabled grammar
+Experience with Amazon Web Services including Sagemaker, Bedrock, Lambda, S3, Connect, Lex, DynamoDB, API Gateway, CloudWatch
+Experience with Machine Learning frameworks and tools like TensorFlow, PyTorch, Scikit-learn. 
+Familiar with Microservices development, Swagger, Postman
+Building test suite and frameworks to automate end to end testing 
+Experience with open source libraries and frameworks
+Experience working in an Agile environment (Scrum, Kanban, SAFe) 
+
+Experience
+
+4+ years of hands-on experience in building AI/ML solutions in a production environment 
+4+ years of professional software development experience
+2+ years of experience with architecture and design
+2+ years of experience in open source frameworks
+1+ years of experience with AWS, GCP, Azure, or another cloud service
+1+ years of experience in Natural Language Processing, Generative AI or Language services 
+
+Education
+
+Bachelor's degree in Computer Science, Information Systems, Engineering or equivalent education or work experience. Master’s degree preferred.
+
+Annual Salary
+
+$70,000.00 - $230,000.00
+
+The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
+
+At this time, GEICO will not sponsor a new applicant for employment authorization for this position.
+
+Benefits:
+
+As an Associate, you’ll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and well-being, including:
+
+Premier Medical, Dental and Vision Insurance with no waiting period**
+Paid Vacation, Sick and Parental Leave
+401(k) Plan
+Tuition Reimbursement
+Paid Training and Licensures
+Benefits may be different by location. Benefit eligibility requirements vary and may include length of service. 
+Coverage begins on the date of hire. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect. 
+
+The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
+
+GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

job-postings/07-01-2025/9.txt

@@ -0,0 +1,79 @@
+GEICO's Enterprise Voice team is seeking an experienced Machine Learning Engineer to reimagine our customers’ contact center experience. You will help drive our insurance business transformation as we redefine experience for our customers.
+
+You will join a team of skilled software engineers as a resident AI/ML expert, supporting multiple AI automation initiatives across the contact center. We are looking for a motivated, high-energy, self-starter and problem solver with a positive attitude, and solid interpersonal and communication skills.
+
+Position Description
+
+Our Senior Machine Learning Engineer is a mid-level member of the Voice engineering staff ensuring we provide innovative experiences and operational excellence to our contact center agents, supervisors and customers. Our team thrives and succeeds in delivering high-quality technology products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge in AI language services, Natural Language Processing and Generative AI.
+
+Responsibilities
+
+Ability to think creatively to find innovative solutions to complex ill-defined problems
+Stay abreast of the latest developments in AI, incorporating new techniques and methodologies into our processes to keep us ahead in the insurance industry
+Provides machine learning expertise within a team's functional area 
+Consistently writes production-ready code with defined standards of readability, maintainability, reliability and testability. Helps junior team members to produce the same. 
+Participates in the formulation of non-functional requirements 
+Specifies the design and implementation of software modules based upon system requirements and architectural guidance 
+
+Basic Qualifications:
+
+Strong foundation in Machine Learning and Artificial Intelligence
+Experienced in Natural Language Processing and AI language services
+Knowledgeable in Generative AI, Large Language Models, OpenAI APIs, prompt engineering
+Familiar with Responsible AI principles, model evaluation and monitoring
+Strong Python and SQL programming skills. Experience using Jupyter notebooks or similar tools. Experience with Github or other source code management platforms
+Experience building configurable AI/ML data pipelines through the complete ML Ops lifecycle. 
+Working knowledge of Big Data technologies such as Spark, Data lake, MLflow, Snowflake, Elasticsearch. 
+Experience with cloud providers, preferably Amazon Web Services and/or Azure
+Ability to explain AI/ML concepts to technical and non-technical audience
+Ability to coach and guide other engineers in shaping ill-defined data needs into concrete project deliverables
+Ability to develop collaborative relationships with multi-functional teams
+
+Preferred Qualifications
+
+Generative AI Retrieval Augmented Generation and AI agents
+Experience working with chatbots and Conversational AI
+Developing omni-channel (voice, chat, SMS) Contact Center solutions including natural language processing and speech-enabled grammar
+Experience with Amazon Web Services including Sagemaker, Bedrock, Lambda, S3, Connect, Lex, DynamoDB, API Gateway, CloudWatch
+Experience with Machine Learning frameworks and tools like TensorFlow, PyTorch, Scikit-learn. 
+Familiar with Microservices development, Swagger, Postman
+Building test suite and frameworks to automate end to end testing 
+Experience with open source libraries and frameworks
+Experience working in an Agile environment (Scrum, Kanban, SAFe) 
+
+Experience
+
+4+ years of hands-on experience in building AI/ML solutions in a production environment 
+4+ years of professional software development experience
+2+ years of experience with architecture and design
+2+ years of experience in open source frameworks
+1+ years of experience with AWS, GCP, Azure, or another cloud service
+1+ years of experience in Natural Language Processing, Generative AI or Language services 
+
+Education
+
+Bachelor's degree in Computer Science, Information Systems, Engineering or equivalent education or work experience. Master’s degree preferred.
+
+Annual Salary
+
+$70,000.00 - $230,000.00
+
+The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.
+
+At this time, GEICO will not sponsor a new applicant for employment authorization for this position.
+
+Benefits:
+
+As an Associate, you’ll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and well-being, including:
+
+Premier Medical, Dental and Vision Insurance with no waiting period**
+Paid Vacation, Sick and Parental Leave
+401(k) Plan
+Tuition Reimbursement
+Paid Training and Licensures
+Benefits may be different by location. Benefit eligibility requirements vary and may include length of service. 
+Coverage begins on the date of hire. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect. 
+
+The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
+
+GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

linkedin_scrapping.py

@@ -0,0 +1,47 @@
+import http.client
+from config import *
+import json
+import os
+from datetime import datetime
+
+
+def scrape_jobs():
+
+    conn = http.client.HTTPSConnection("linkedin-job-search-api.p.rapidapi.com")
+
+    headers = {
+        'x-rapidapi-key': RAPID_API_KEY,
+        'x-rapidapi-host': "linkedin-job-search-api.p.rapidapi.com"
+    }
+
+    conn.request("GET", "/active-jb-7d?title_filter=machine%20learning&description_type=text", headers=headers)
+
+    res = conn.getresponse()
+    data = res.read()
+    jobs_str = data.decode("utf-8")
+    jobs = json.loads(jobs_str)
+
+    return jobs
+
+def extract_job_descriptions(jobs):
+
+    # Get the current date in YYYY-MM-DD format and create folder
+    current_date = datetime.now().strftime('%d-%m-%Y')
+    folder_path = os.path.join("job-postings", current_date)
+    os.makedirs(folder_path, exist_ok=True)
+
+    for idx, job in enumerate(jobs, start=1):
+        if 'description_text' in job.keys():
+            jd = job['description_text']
+            print(jd)
+
+            # Save the job description to a text file
+            file_path = os.path.join(folder_path, f"{idx}.txt")
+            with open(file_path, "w", encoding="utf-8") as file:
+                file.write(jd)
+            print("Job {} saved".format(str(idx)))
+        else:
+            print("Job description not available")
+
+jobs = scrape_jobs()
+extract_job_descriptions(jobs)