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

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+Responsibilities
+
+TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.
+
+Why Join Us
+
+Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
+
+Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
+
+To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.
+
+At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
+
+Team Introduction
+
+E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. We are a group of applied machine learning engineers and data scientists that focus on E-commerce recommendations. We are developing innovative algorithms and techniques to improve user engagement and satisfaction, converting creative ideas into business-impacting solutions. We are interested and excited about applying large scale machine learning to solve various real-world problems in E-commerce.
+
+We are looking for talented individuals to join us for an internship in 2024. Internships at TikTok aim to offer students industry exposure and hands-on experience. Turn your ambitions into reality as your inspiration brings infinite opportunities at TikTok.
+
+This Internship Program runs for 10-24 weeks. Candidates can also apply for both Off-cycle Intern position and Program Intern position.
+
+Applications will be reviewed on a rolling basis. We encourage you to apply early. Candidates can apply to a maximum of TWO positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally.
+
+Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.
+
+Responsibilities
+
+Participate in building large-scale (10 million to 100 million) e-commerce recommendation algorithms and systems, including commodity recommendations, live stream recommendations, short video recommendations etc in TikTok.
+Build long and short term user interest models, analyze and extract relevant information from large amounts of various data and design algorithms to explore users' latent interests efficiently.
+Design, develop, evaluate and iterate on predictive models for candidate generation and ranking(eg. Click Through Rate and Conversion Rate prediction) , including, but not limited to building real-time data pipelines, feature engineering, model optimization and innovation.
+
+Qualifications
+
+Minimum Qualifications:
+
+Currently pursuing a Master's degree or Phd's Degree in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
+Solid knowledge in one of the following areas: machine learning, deep learning, data mining, large-scale systems.
+Experience with at least one programming language like C++/Python or equivalent.
+Experience in Deep Learning Tools such as tensorflow/ pytorch.
+Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment; Able to commit to working for 12 weeks starting May 2024
+
+Preferred Qualifications:
+
+Graduating December 2024 onwards with intent to return to degree-program after the completion of the internship.
+Familiar with one or more of the algorithms such as Collaborative Filtering, Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks, Wide and Deep etc.
+Publications at KDD, NeurlPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RECSYS and related conferences/journals, or experience in data mining/machine learning competitions such as Kaggle/KDD-cup etc.
+
+TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
+
+TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://shorturl.at/cdpT2
+
+By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.
+
+Job Information
+
+【For Pay Transparency】Compensation Description (Hourly) - Campus Intern
+
+The hourly rate range for this position in the selected city is $59- $59.
+
+Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).
+
+The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
+
+For Los Angeles County (unincorporated) Candidates:
+
+Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
+
+Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
+Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
+Exercising sound judgment.

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

@@ -0,0 +1,62 @@
+We are on a mission to spark connections and bring people together.
+
+Dcard is a social media platform devoted to creating a safe and free environment for ever-flowing ideas and extraordinary stories. Garnering the trust of the younger generation, our service attracts millions of active users and up to 20 million unique visitors per month. We have substantial influence and high penetration amongst the youth of Taiwan, but our ambitions do not stop here.
+
+As a strong and emerging international company, we are on a mission to spark connections and bring people together. We continue to make impactful influence in the social media, advertising and e-commerce fields. Continuing our success in the Taiwan market, we are now expanding to Hong Kong, Japan, and the APAC market.
+
+As a Senior Machine Learning Engineer at Dcard, you will collaborate closely with product managers and developers to build products that matter and create tools that accelerate growth. Join our team of developers to build the social network of the next generation. We code in a fresh monolithic repository and ship code every few hours, and most importantly, we're never afraid of using new and bold approaches to conquer challenges.
+
+If you are ready to take the leap, join us in creating an experience that connects people all around the world!
+
+Why should you join Dcard?
+
+Dcard's products have expanded from the card-pairing feature to community, e-commerce, and other services targeting university students and young people. We are building a rapidly growing and continuously expanding organization with a growth mindset. The team focuses on long-term mission vision and strategy, working together to stay focused on goals and continuously break through barriers. We are reaching out to the world, creating more opportunities and development in different fields, and we are not satisfied with the current boundaries. We need you to provide value to our users in more aspects of life!
+
+About The Dcard Engineering Team
+
+As a member of the Dcard Engineering Team, you will not only focus on feature development but also optimize the developer experience and architecture, and evaluate the adoption of new technologies. At Dcard, you will face many interesting challenges, working on high-traffic products, constantly adjusting and improving the existing architecture to provide smooth services to millions of users. We are -
+
+Data Driven - Any analysis and decision-making within the team revolve around important metrics, and product development goals are based on OKRs to measure their value, ensuring that everyone is on the same track and moving towards the same goal. We value data-driven thinking over relying on intuition.
+Fast-Paced - Working with a talented team, you will experience significant growth in both technical and collaborative abilities. The team operates at a fast pace, and we expect the product to move forward quickly. Consequently, we face daily challenges such as setting up an ad system to handle high traffic or ensuring real-time and fast data updates.
+Process Optimization - The team pays great attention to the smoothness of processes and continuously thinks about how to collaborate more efficiently. We roll up our sleeves and directly change things that bother us, optimizing the development and life experiences as a whole.
+Continuous Growth - In addition to regular study sessions, we learn about the projects undertaken by team members in different domains through Developer Sessions within the team. We also invite external members to share successful case studies or development processes from other teams.
+
+What you'll do
+
+Participate in the development and evolution of machine learning-related products at Dcard, involving tasks such as algorithm development, model training, feature pipeline design, and maintaining the smooth operation of services.
+Collaborate with other Data Component developers to build machine learning-related systems at Dcard.
+Analyze and extract insights from a large volume of user data to iteratively optimize algorithms.
+Design and conduct A/B testing experiments to validate the effectiveness of algorithms.
+
+What We're Looking For
+
+Passionate about understanding user needs and transforming algorithms into products.
+Proficient in Python and open to learning new languages.
+Enjoy striving for high-quality code and can propose minimal viable system architectures and understand the tradeoffs involved when facing requirements.
+Possess excellent communication and collaboration skills, able to articulate ideas clearly and work seamlessly with other teams.
+Have a basic understanding of machine learning algorithms and workflows, such as NLP, Deep Learning, Recommendation Systems, and more.
+Demonstrated Competence in Conversational English
+
+Bonus Points If You Have 
+
+Have more than two years of working experience in recommendation systems, search, e-commerce, or advertising systems, with familiarity in relevant application scenarios.
+Proficient in designing distributed systems, capable of handling large-scale data or developing large-scale systems.
+Have experience in NLP and Chinese text analysis.
+Familiar with business applications and system design of machine learning systems.
+Able to address challenges encountered when developing with mainstream ML frameworks and handling massive data.
+Proficient in several of the following technologies:
+PyTorch / Scikit-Learn / XGBoost / Tensorflow
+Airflow
+GCP / Kubernetes
+SQL / NoSQL / Redis
+Linux
+Compensation
+
+Negotiable
+
+Things to Consider
+
+Only shortlisted candidates will be notified.
+The job opening may close ahead of schedule if positions are filled.
+Dcard reserves the right to withdraw a job offer if any false information is discovered during the application process.
+At Dcard, we celebrate diversity and strive to provide an inclusive environment where everyone is respected. We believe that equality and diversity drive innovation and creativity. Dcard is committed to maintaining a non-discriminatory employment environment and providing equal opportunities to all candidates.

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

@@ -0,0 +1,30 @@
+We are looking for a talented Machine Learning Engineer with a strong focus on Deep Learning and MLOps to join our client's engineering team. As an integral part of their MLOps initiatives, you will work on building, deploying, and maintaining deep learning models in production environments, using best practices in model management, automation, and continuous integration. You will leverage cutting-edge deep learning techniques to solve real-world problems while ensuring that these models can be efficiently deployed, monitored, and scaled.
+This is an exciting opportunity for someone who thrives in an entrepreneurial, fast-paced startup environment and is passionate about combining deep learning expertise with MLOps to bring AI to life at scale.
+
+Key Responsibilities:
+Deep Learning Model Development: Design, train, and optimize deep learning models (e.g., CNNs, RNNs, Transformers) for various applications like NLP, computer vision, and predictive analytics.
+MLOps Pipeline Development: Build and maintain scalable and automated MLOps pipelines for model training, validation, deployment, and monitoring in production environments.
+Model Deployment & Monitoring: Implement best practices for deploying deep learning models using CI/CD pipelines, ensuring that models are continuously integrated, deployed, and monitored across environments (staging, production, etc.).
+Model Versioning & Management: Implement robust model versioning and lifecycle management practices, ensuring that models can be easily tracked, retrained, and rolled back if necessary.
+Collaboration with Data Scientists: Work closely with data scientists to refine models, integrate new features, and ensure models meet business requirements while maintaining operational scalability.
+Model Performance & Optimization: Monitor and optimize the performance of models in production, adjusting hyperparameters, retraining models, and improving inference speed while maintaining accuracy.
+Automation & Infrastructure: Build automated systems for data preprocessing, model training, evaluation, and deployment. Use technologies like Kubernetes, Docker, and cloud platforms (AWS, Azure, GCP) to ensure model deployment and scaling.
+Cloud Platform Expertise: Deploy deep learning models on cloud platforms using services like AWS SageMaker, Google AI Platform, or Azure Machine Learning, ensuring that solutions are scalable and cost-effective.
+Research & Continuous Improvement: Stay up-to-date with the latest trends in deep learning and MLOps, contributing to the development of new techniques for model deployment, monitoring, and optimization.
+Cross-Functional Collaboration: Collaborate with DevOps engineers, software engineers, and product teams to ensure seamless integration of machine learning solutions into production systems.
+
+Required Skills & Experience:
+Experience: 3+ years of hands-on experience in machine learning, with a strong focus on deep learning and MLOps practices.
+Deep Learning Frameworks: Proficiency with deep learning frameworks such as TensorFlow, Keras, or PyTorch for building and optimizing models.
+MLOps Tools & Technologies: Experience in building and managing MLOps pipelines using tools like Kubeflow, MLflow, TFX, Jenkins, Docker, Kubernetes, and Terraform.
+Programming Skills: Strong programming skills in Python and experience with data manipulation libraries such as Pandas, NumPy, and SciPy.
+Cloud Computing: Hands-on experience with cloud platforms (AWS, GCP, or Azure) for deploying machine learning models at scale, including using tools like AWS SageMaker, Google AI Platform, or Azure ML.
+
+Preferred Skills:
+AI Specializations: Expertise in specific deep learning domains like NLP, computer vision, or reinforcement learning.
+MLOps Frameworks: Experience with open-source MLOps frameworks such as Kubeflow, MLflow, or TFX for managing the end-to-end machine learning lifecycle.
+Automation: Familiarity with infrastructure as code tools (e.g., Terraform, CloudFormation) for managing MLOps infrastructure.
+Continuous Learning: A passion for staying up-to-date with the latest research in deep learning, MLOps practices, and model deployment strategies.
+
+Education:
+Degree Requirements: A Master's or PhD in Computer Science, Data Science, Electrical Engineering, or a related field is preferred but not required.

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

@@ -0,0 +1,42 @@
+Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Seattle, WA, USA; San Francisco, CA, USA.Minimum qualifications:
+
+PhD degree in Computer Science, a related field, or equivalent practical experience. 
+One or more scientific publication submission(s) for conferences, journals, or public repositories.
+Coding experience in Python, JavaScript, R, Java, or C++.
+Machine Learning experience.
+
+Preferred qualifications:
+
+2 years of coding experience in Python, JavaScript, R, Java, or C++. 
+1 year of experience owning and initiating research agendas.
+Experience with automated algorithm discovery methods, learning to learn, or program synthesis.
+Experience with digital hardware or hardware intended for machine learning.
+Knowledge of computational neuroscience.
+Familiarity with non-gradient-based optimization techniques.
+
+About The Job
+
+As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
+
+As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
+
+To advance the field of artificial intelligence by exploring alternative computational paradigms beyond those currently trending. In particular, our team is interested in the discovery of learning algorithms for experimental, energy efficient hardware paradigms. We use both hand-design and automated discovery methods.
+
+Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
+
+[For US Applicants]
+
+The US base salary range for this full-time position is $136,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
+
+Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
+
+Responsibilities
+
+Explore thoroughly into a project for an extended period of time.
+Design, execute, and interpret machine learning experiments, selecting appropriate algorithms, models, and evaluation metrics.
+Review literature, identify key questions, think creatively, iterate on experiments, and employ scientific accuracy.
+Be proficient in one or more modern programming languages (e.g., Python), learn new programming languages. Learn technologies such as large-scale computation methods, be experienced with one or more machine learning libraries (e.g., JAX or PyTorch).
+Write clear academic papers, give formal research talks, and have informal discussions with colleagues.
+
+
+Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

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

@@ -0,0 +1,42 @@
+Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Seattle, WA, USA; San Francisco, CA, USA.Minimum qualifications:
+
+PhD degree in Computer Science, a related field, or equivalent practical experience. 
+One or more scientific publication submission(s) for conferences, journals, or public repositories.
+Coding experience in Python, JavaScript, R, Java, or C++.
+Machine Learning experience.
+
+Preferred qualifications:
+
+2 years of coding experience in Python, JavaScript, R, Java, or C++. 
+1 year of experience owning and initiating research agendas.
+Experience with automated algorithm discovery methods, learning to learn, or program synthesis.
+Experience with digital hardware or hardware intended for machine learning.
+Knowledge of computational neuroscience.
+Familiarity with non-gradient-based optimization techniques.
+
+About The Job
+
+As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
+
+As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
+
+To advance the field of artificial intelligence by exploring alternative computational paradigms beyond those currently trending. In particular, our team is interested in the discovery of learning algorithms for experimental, energy efficient hardware paradigms. We use both hand-design and automated discovery methods.
+
+Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
+
+[For US Applicants]
+
+The US base salary range for this full-time position is $136,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
+
+Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
+
+Responsibilities
+
+Explore thoroughly into a project for an extended period of time.
+Design, execute, and interpret machine learning experiments, selecting appropriate algorithms, models, and evaluation metrics.
+Review literature, identify key questions, think creatively, iterate on experiments, and employ scientific accuracy.
+Be proficient in one or more modern programming languages (e.g., Python), learn new programming languages. Learn technologies such as large-scale computation methods, be experienced with one or more machine learning libraries (e.g., JAX or PyTorch).
+Write clear academic papers, give formal research talks, and have informal discussions with colleagues.
+
+
+Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

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

@@ -0,0 +1,42 @@
+Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; Seattle, WA, USA; San Francisco, CA, USA.Minimum qualifications:
+
+PhD degree in Computer Science, a related field, or equivalent practical experience. 
+One or more scientific publication submission(s) for conferences, journals, or public repositories.
+Coding experience in Python, JavaScript, R, Java, or C++.
+Machine Learning experience.
+
+Preferred qualifications:
+
+2 years of coding experience in Python, JavaScript, R, Java, or C++. 
+1 year of experience owning and initiating research agendas.
+Experience with automated algorithm discovery methods, learning to learn, or program synthesis.
+Experience with digital hardware or hardware intended for machine learning.
+Knowledge of computational neuroscience.
+Familiarity with non-gradient-based optimization techniques.
+
+About The Job
+
+As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
+
+As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
+
+To advance the field of artificial intelligence by exploring alternative computational paradigms beyond those currently trending. In particular, our team is interested in the discovery of learning algorithms for experimental, energy efficient hardware paradigms. We use both hand-design and automated discovery methods.
+
+Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
+
+[For US Applicants]
+
+The US base salary range for this full-time position is $136,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
+
+Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
+
+Responsibilities
+
+Explore thoroughly into a project for an extended period of time.
+Design, execute, and interpret machine learning experiments, selecting appropriate algorithms, models, and evaluation metrics.
+Review literature, identify key questions, think creatively, iterate on experiments, and employ scientific accuracy.
+Be proficient in one or more modern programming languages (e.g., Python), learn new programming languages. Learn technologies such as large-scale computation methods, be experienced with one or more machine learning libraries (e.g., JAX or PyTorch).
+Write clear academic papers, give formal research talks, and have informal discussions with colleagues.
+
+
+Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

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

@@ -0,0 +1,47 @@
+Job Description
+
+Arm's Machine Learning Group is seeking highly motivated and creative Software Engineers to join the Cambridge-based ML Content, Algorithms and Tools team!
+
+This Machine Learning Engineer role focuses on advancing the field of AI by optimizing and deploying pioneering models, particularly Large Language Models (LLMs) and Generative AI algorithms. This involves deep analysis of neural networks, optimizing software and hardware, developing innovative solutions, and collaborating with teams to build high-performance AI systems.
+
+Responsibilities
+
+Your responsibilities involve working with major ML frameworks (PyTorch, TensorFlow, etc.) to port and develop ML networks, optimize and quantize models for efficient execution on Arm platforms, and help ensure multiple Arm products are designed to perform effectively for machine learning. As an in-depth technical responsibility, you will need to deeply understand the complex applications you analyze and communicate them in their simplest form to contribute to product designs, allowing you to influence both IP and system architecture.
+
+Required Skills And Experience
+
+A background in computer science, software engineering or other comparable skills
+Experience training and debugging neural networks with TensorFlow and PyTorch using Python
+Understanding, deploying, and optimizing Large Language Models (LLMs) and Generative AI algorithms.
+Experience using software development platforms and continuous integration systems
+Familiarity with Linux and cloud services
+Have a strong attention to detail to ensure use cases you investigate are well understood and the critical areas needing improvement are understood 
+
+Nice To Have Skills And Experience
+
+Experience of the inner workings of Pytorch, Tensorflow, Executorch and Tensorflow Lite
+Experience of developing and maintaining CI/testing components to improve automation of model analysis
+Good knowledge of Python for working with ML frameworks
+Good knowledge of C++ for working with optimised ML libraries
+Previous experience of machine learning projects
+Experience with deployment optimizations on machine learning models 
+
+In Return 
+
+From research to proof-of-concept development, to deployment on ARM IPs, joining this team would be a phenomenal opportunity to contribute to the full life cycle of machine learning projects and understand how innovative machine learning is used to solve real word problems.
+
+Working closely with experts in ML and software and hardware optimisation - a truly multi-discipline environment - you will have the chance to explore existing or build new machine learning techniques, while helping unpick the complex world of use-cases spanning mobile phones, servers, autonomous driving vehicles, and low-power embedded devices
+
+!
+
+Accommodations at Arm
+
+At Arm, we want our people to Do Great Things. If you need support or an accommodation to Be Your Brilliant Self during the recruitment process, please email accommodations@arm.com . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.
+
+Hybrid Working at Arm
+
+Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.
+
+Equal Opportunities at Arm
+
+Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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

@@ -0,0 +1,78 @@
+At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all.
+
+The exceptional EY experience. It's yours to build.
+
+EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.
+
+AI/Machine Learning Engineer, Senior Consultant
+
+The opportunity
+
+Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions.
+
+Your Key Responsibilities
+
+You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.
+
+You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.
+
+Skills And Attributes For Success
+
+This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.
+
+To qualify for the role you must have
+
+Bachelor's degree and 3-6 years of full-time working experience in AI and/or Machine Learning
+Strong skills in Python.
+Experience using Generative AI models and frameworks e.g. OpenAI family, open source LLMs, Dall-e, LlamaIndex, Langchain, Retrieval Augmented Generation (RAG).
+Experience working with popular ML packages such as scikit-learn, Pytorch and ONNX, or related ML libraries.
+Extensive experience using DevOps tools like GIT, Azure Devops and Agile tools such as Jira to develop and deploy analytical solutions with multiple features, pipelines, and releases.
+A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.
+Experience with MLOps methods and platforms such as MLFlow.
+Experience with CI/CD and test-driven development.
+Experience designing, building, and maintaining ML models, frameworks, and pipelines.
+Experience designing and deploying end to end ML workflows on at least one major cloud computing platform.
+Understanding of data structures, data modelling and software engineering best practices.
+Proficiency using data manipulation tools and libraries such as SQL, Pandas, and Spark.
+Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions.
+Experience with containerization and scaling models.
+Integrating models and feedback from downstream consumption systems - reporting and dashboards, AI driven applications.
+Strong mathematical and quantitative skills including calculus, linear algebra, and statistics.
+Willingness to travel to meet client obligations.
+
+Ideally, you'll also have
+
+A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them.
+Master's degree Computer Science, Mathematics, Physical Sciences, or other quantitative field.
+Experience working with diverse teams to deliver complex solutions.
+Strong skills in languages beyond Python: R, JavaScript, Java, C++, C.
+Experience fine-tuning Generative AI models.
+
+What We Look For
+
+You have an agile, growth-oriented mindset. What you know matters. But the right mindset is just as important in determining success. We're looking for people who are innovative, can work in an agile way and keep pace with a rapidly changing world.
+You are curious and purpose driven. We're looking for people who see opportunities instead of challenges, who ask better questions to seek better answers that build a better working world.
+You are inclusive. We're looking for people who seek out and embrace diverse perspectives, who value differences, and team inclusively to build safety and trust. FY25NATAID
+
+What We Offer
+
+We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $105,800 to $174,800. The salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $127,100 to $198,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
+
+Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
+Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
+Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
+Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
+
+EY accepts applications for this position on an on-going basis. If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
+
+EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
+
+Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
+
+Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
+
+For those living in California, please click here for additional information.
+
+EY is an equal opportunity, affirmative action employer providing equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.
+
+EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com

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

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+By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.
+
+Job Description
+
+Takeda has been translating science into breakthrough medicines for 240 years. Every step of the way, our teams have worked together to tackle some of the most challenging problems in drug discovery and development. Today, we’re a driving force behind innovative therapies that make a lasting difference to millions of patients around the world.
+
+In R&D, all of our history and potential comes together in an environment that welcomes diversity of thought and amplifies every voice. Working closely with colleagues, you’ll play a key role in bringing our rich pipeline of products forward to help patients. Come join a team that’s earned trust for more than two centuries, and find out how advancing transformative therapies at Takeda will shape your bright future.
+
+The Computational Oncology group within the Precision & Translational Medicine (PTM) function in the Oncology Therapeutic Area Unit (OTAU) at Takeda has the accountability for driving end-to-end computational innovation and excellence from discovery through development, launch, and beyond as needed to advance our pipeline to patients in need. It consists of talented computational biologists who derive actionable scientific insights from large, diverse, and complex biological datasets including clinical trials and external datasets. They partner closely with teams within PTM and across the enterprise, such as Oncology Discovery, the Data Sciences Institute (including Statistics, Global Evidence and Outcomes, Data Architecture), Clinical Pharmacology, Clinical Sciences, as well as with other computational functions at Takeda as needed. Their collaboration guides robust drug target identification and validation, proof-of-concept in the clinic, and the development of pharmacodynamic and predictive markers to inform data-driven decisions. They also propose actionable solutions to be tested in the laboratory and/or the clinic to identify and advance our innovative cancer therapies.
+
+Job Description 
+
+We are seeking a highly motivated and talented graduate student intern with a background applying convolutional neural networks, autoencoders, or transformer models to solve problems in digital pathology and single cell transcriptomics to join our team. You will work on predicting RNA features from H&E images and fine-tuning single cell foundational models for downstream tasks, contributing to biomarker development, and the advancement of therapies for patients in need. This role includes training deep neural networks, transfer learning and shallow machine learning using H&E images and single cell transcriptomics to understand the tumor microenvironment and predicting therapeutic responses. This internship is designed to immerse you in the forefront of medical research, offering hands-on experience and the opportunity to collaborate with leading industry professionals in a dynamic and collaborative environment.
+
+How You Will Contribute 
+
+Collaborate with internal and external teams to build machine learning models using multi-modal data, including single cell transcriptomics and medical images. 
+Contribute to the development of innovative quantitative biomarkers related to the tumor microenvironment to help build patient selection strategies. 
+Analyze complex data sets to extract actionable insights, inform strategic decisions, and effectively communicate findings to the team and stakeholders. 
+Partner with cross-functional teams to develop and implement innovative approaches for data analysis, aiming for continuous research process improvements. 
+Help translate preclinical observations into the clinic to benefit patients with unmet need. 
+
+Internship Development Opportunities 
+
+Understanding of drug discovery & development 
+Application of AI/ML approaches to real problems in drug discovery & development 
+Working collaboratively with cross-functional teams on a common problem 
+
+Job Requirements 
+
+This position will be Hybrid and require 2-3 days in the Cambridge office per week. 
+Experience of working in laboratory environment with good safety and practices (Chemistry/Biology/Biochemistry or other related major). 
+Basic understanding of computer skills including MS Office (PowerPoint, Words, Excel) 
+Internet skills including use of e-mails, group messaging and information gathering 
+Highly reliable and a strong team player 
+Flexible with an attention to detail 
+Strong verbal and written communication skills 
+Must be currently enrolled in a PhD program with a focus on quantitative fields such as bioinformatics, biomedical engineering, machine learning, math or statistics or equivalent. 
+
+Internship Eligibility
+
+Must be authorized to work in the U.S. on a permanent basis without requiring sponsorship 
+Must be currently enrolled in a degree program graduating December 2025 or later 
+The internship program is 10-12 weeks depending on the two start dates (June 2nd- August 29th) or (June 16th - August 22nd 
+The intern must be able to commit to one of these time frames 
+Able to work full time 40 hours a week during internship dates 
+Takeda does not provide a housing stipend or relocation support for the U.S Summer Internship Program 
+
+Program Highlights 
+
+Hands-on experience with real projects and responsibilities 
+Dedicated mentorship program pairing interns with experienced professionals 
+Networking opportunities with industry professionals and fellow interns 
+Internship events focused on professional and skills development 
+Exposure to multiple business areas or departments within a Pharmaceutical Organization 
+
+Applications will be accepted between January 6th and January 31st
+
+Takeda Compensation And Benefits Summary
+
+We understand compensation may be an important factor as you consider an internship opportunity. We are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices.
+
+For Location 
+
+Boston, MA
+
+U.S. Hourly Wage Range 
+
+$21.00 - $46.00
+
+The estimated hourly range reflects an anticipated range for this position. The actual hourly wage offered will depend on the candidate’s school year/level to be entered following completion of internship. The actual hourly wage offered will be in accordance with state or local minimum wage requirements for the job location.
+
+U.S. internship benefits vary by location and may include
+
+Paid sick time 
+Civic Duty paid time off 
+Participation at company volunteer events 
+Participation at company sponsored special events 
+Access to on-site fitness center (where available) 
+Commuter Benefit To offset your work-commute expenses, Takeda provides U.S. employees with a fixed monthly subsidy to be used for either public transportation (transit) or parking. 
+
+EEO Statement
+
+Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, status as a Vietnam era veteran, special disabled veteran, or other protected veteran in accordance with applicable federal, state and local laws, and any other characteristic protected by law.
+
+Locations
+
+Boston, MA
+
+Worker Type
+
+Employee
+
+Worker Sub-Type
+
+Paid Intern (Fixed Term) (Trainee)
+
+Time Type
+
+Full time
+
+Job Exempt
+
+No

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

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+🚀 Join Us as a Founding Member of Technical Staff (ML Engineering & Research)
+
+We’re an open-source platform shaping the future of large language models (LLMs) by transforming production data into smarter, faster, and more cost-efficient solutions. Our platform creates a continuous feedback loop that optimizes LLM applications through smarter inference, real-time observability, and seamless experimentation.
+
+You’ll contribute to an open-source project tackling exciting challenges like advanced inference techniques and cutting-edge optimization methods, including reinforcement learning. Your work will span across the stack, providing opportunities to blend ML research with systems engineering.
+
+Who We’re Looking For
+We don’t separate “engineers” from “researchers.” Instead, we focus on building a team that thrives on cross-functional collaboration and impactful contributions. If you’re passionate about solving complex technical problems and pushing boundaries, this is the role for you.
+
+Key Qualifications:
+Strong technical expertise: You’ve led large-scale projects from ideation to deployment, solving challenging problems along the way.
+Experience with LLMs or RL: You bring technical depth and leadership, ideally having worked at the forefront of these fields.
+Growth-oriented mindset: You’re excited to work in a fast-paced enviro
+
+✨ If you’re passionate about the intersection of open source, machine learning, and impactful innovation, this is your opportunity to make a difference.