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Staff Machine Learning Engineer We're looking for a Staff Level Machine Learning Engineer build large-scale systems that make a real-world impact? Our client - a fast-growing AI company revolutionising healthcare - is seeking a Staff Machine Learning Engineer to lead the design, deployment, and optimisation of production-grade ML systems. This is your opportunity to shape the next generation of applied AI in healthcare and work with some of the brightest minds in the industry. Responsibilities: Collaborate cross-functionally with data scientists, engineers, and product teams to design and deliver scalable ML solutions. Mentor and guide other engineers, setting standards and shaping the company's ML engineering practices. Architect robust systems that support high-volume batch and real-time inference. Develop APIs, feature stores, and automation tooling to accelerate ML experimentation and deployment. Build and maintain pipelines for data ingestion, training, evaluation, and model serving. Implement monitoring, observability, and reliability frameworks to ensure production-grade performance. Optimise performance across the ML stack - balancing latency, scalability, and cost-efficiency. Requirements: Experience building and deploying ML models in production environments. Strong programming background in Python , Go , C++ , or Java . Experience with distributed training , data pipelines , and real-time inference systems . Sound understanding of ML concepts , particularly in computer vision or large language models (LLMs) . Deep expertise with cloud platforms (AWS, GCP, or Azure) and DevOps infrastructure (Kubernetes, Terraform, Docker). Why apply? Competitive compensation and equity package. Flexible and hybrid work options across major U.S. tech hubs. A high-growth, collaborative culture where ownership and innovation are valued. A mission-driven environment - shaping the future of AI-powered healthcare . To apply please contact Sam Shinner at Discover International

Staff Data Scientist Location: Beachwood, OH Shift: Monday - Friday 8am - 5pm (Onsite 4 days a week) (Possible remote for the right candidate) Position Summary: The Staff Data Scientist will be a key role in the Data Science and Analytics team tasked with providing technical leadership for the establishment of enterprise wide capabilities in data science, AI and predictive analytics. The Staff Data Scientist will typically work on 3-5 large projects concurrently that have organization-wide impact. In addition to these projects, the Staff Data Scientist will provide technical consultation, advice and training on all major on-going Data Science and Analytics projects. When required, the Staff Data Scientist will also act as a project manager where vendors, suppliers and consultants are engaged on key strategic and emerging technology initiatives. Major Responsibilities: Identifying High Value Analytics & AI Opportunities Partner with business leaders to identify opportunities where predictive analytics, machine learning, or generative AI can improve productivity, reduce cost, or unlock new capabilities. Develop clear business cases and ROI models to prioritize initiatives and communicate value to senior leadership. Lead Data Science Projects Translate complex business requirements into robust, scalable technical solutions. Select and implement appropriate modeling techniques, including classical ML, deep learning, generative AI, and reinforcement learning where applicable. Oversee the full model lifecycle: data exploration, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement. Ensure solutions are production ready, maintainable, and aligned with MLOps best practices. Drive organization wide adoption of models and AI systems through clear communication, documentation, and stakeholder engagement. Technical Guidance & Thought Leadership Provide expert consultation on ML algorithms, model tuning, experimentation frameworks, and cloud native data engineering patterns. Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. Contribute to the development of internal standards, reusable components, and best practice guidelines. Project Management Develop and maintain project plans, milestones, and communication strategies for strategic initiatives. Facilitate regular updates with stakeholders, executives, and cross functional partners. Coordinate with vendors, consultants, and technology partners when external expertise is required Lead technology change in Data Science, Analytics and AI Evaluate emerging technologies including generative AI platforms, MLOps tools, cloud services, and data engineering frameworks to determine applicability and business value. Recommend and influence adoption of modern, flexible, and scalable technologies that support a unified enterprise data and AI platform. Drive experimentation and prototyping to accelerate innovation and reduce time to value. Qualifications: Master's Degree required; preferred concentrations in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. PhD preferred in Engineering, Operations Research, Statistics, Applied Math, Computer Science, Data Science or related quantitative field. 7+ years of experience along with a PhD in a related field OR 10+ years of experience along with a Master's degree in a related field required. Advanced experience developing and deploying machine learning models using Python and modern ML frameworks (e.g., Scikitlearn, PyTorch, TensorFlow). Strong applied expertise across core ML techniques, including regression, tree based models, clustering, deep learning, and NLP. Familiarity with generative AI and LLMs, including prompt engineering, finetuning, embeddings, and vector databases. Solid understanding of MLOps practices, including CI/CD for ML, automated training pipelines, model versioning, monitoring, and model governance. Hands on experience with cloud based ML platforms (AWS, Azure, or GCP) and containerization/orchestration tools such as Docker and Kubernetes. Working knowledge of modern data ecosystems (Snowflake, Redshift) and the ability to collaborate effectively with data engineering teams when needed. Advanced skill in statistical modeling, SQL, and database concepts required. Demonstrated experience leading small technical teams or pods, providing mentorship and technical direction. Familiarity with Logistics industry is preferred. Regular, predictable, full attendance is an essential function of the job Willingness to travel as necessary, work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening are required. Physical Requirements: -The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. -The associate will be required to: read; communicate verbally and/or in written form; remember and analyze certain information; and remember and understand certain instructions or guidelines. -While performing the duties of this job, the associate may be required to stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to occasionally lift and/or move up to 25lbs/12kg. -Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Information Technology Job Family: Analytics & Intelligence Address: 3000 Auburn Dr Primary Location: US-OH-Beachwood Employer: Penske Logistics LLC Req ID:

Genesis10 is currently seeking a Quantitative Analyst - Remote for a 9+ month contract position with our client, a global medical technology company, located in San Diego, CA. Pay range: $50.98 - $60.98 per hour, W2, depending on skill and experience level. Responsibilities: Conduct statistical analysis, data visualization, and translation of results using best practices and statistical methods to provide meaningful insights to clinical, medical, and commercial teams Manage large and diverse datasets, including data ingestion, documentation, cleaning, quality control checks, and storage in cloud environments Prepare summary statistics, tables & figures for reports, presentations & publications, write descriptions of analytical methods, and draw conclusions from analysis results Comprehensively synthesize and translate research findings, and effectively communicate actionable insights and recommendations to stakeholders at all levels of the organization Collaborate with cross-functional teams, including product development, medical affairs, and clinical education, to translate quantitative insights for HCP- and patient- facing communications Stay updated on industry trends, methodologies, and best practices in quantitative research, continuously refining skills and approaches to deliver high-quality insights Perform other responsibilities as assigned and requested Requirements: BS or BA, preference for Master's degree Strong foundation of knowledge in statistical analysis skills with application to diabetes management, psychology, and/or physiology Firsthand experience working with large datasets and in big data cloud environments for quantitative analysis, statistical analysis, and statistical modeling Proficient in Python and/ or R for statistical programming Experience visualizing data in programming environments Excellent written and verbal communication skills Desired skills: Experience planning and implementing data collection, organizing collected data, and using data collection tools like Qualtrics Experience working in a research role within a relevant industry (e.g., technology, healthcare) Well-organized, team player, detail-oriented, with effective time management skills Proficient with software tools like Microsoft Office Suite Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most of whom have been working with Genesis10 for 5-20+ years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

The Principal Artificial Intelligence & Machine Learning Engineer I/Scientist I works within the Artificial Intelligence Operations and Data Science Services group (AIOS) in the Informatics & Analytics department of Dana Farber Cancer Institute - a teaching affiliate of Harvard Medical School. The Principal Artificial Intelligence & Machine Learning Engineer I/Scientist I works in a team environment on both short term priorities identified by our top clinicians, as well as on long term institutional efforts that aim at revolutionizing the way the Institute conducts basic cancer research and provides best in class clinical oncology to our patients. AIOS is part of the department serving some of the most prominent research and clinical programs at the Institute, from basic to translational research, to clinical deployment, and operationalization. The AIOS group encompasses expertise in AI, data science, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling. Dana Farber Cancer Institute (DFCI) provides expert, compassionate, and equitable care to children, adults, and their families, while advancing the understanding, diagnosis, treatment, cure, and prevention of cancer and related diseases. DFCI trains new generations of clinicians and scientists, disseminate innovative patient therapies and scientific discoveries around the world, and reduce the impact of cancer, while maintaining a focus on those communities who have been historically marginalized. Located in Boston and the surrounding communities, Dana Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School affiliated hospitals. Meeting and consulting with physician scientists requiring machine learning & AI support and designing plans and solutions, participating in their research activities, as well as supporting them in the grant writing, and leading research efforts when required. Interpreting complex machine learning & AI information. Summarizing and presenting results to senior leadership. Monitoring new developments in the field and has vision for staying at the cutting edge. Recognizing and reporting problems with the machine learning & AI process and identifying solutions. Minimum Education: Master's degree required; PhD preferred. Minimum Experience: 8 years of relevant experience required with Master's degree or 7 years of relevant experience required with PhD. Deep machine learning & AI skills, at the interface with computer science. Python experience is required; R experience is a plus. Experience within a clinical or research environment preferred. Experience managing at least one person is preferred. KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: Strong team player with the ability to leverage the many excellent groups and resources at DFCI and Harvard more broadly and build collaborative strategies. Ability to communicate and solve problems effectively, track record in serving a variety of diverse customers and projects and of leading teams. Ability to work independently, prioritize, and manage people if needed, within an environment with rapidly changing priorities. Experience to teach three or more of the following: Natural language processing or Computer vision technologies, Transformers, Adversarial / Generative models, JAX + Flex / Haiku, Vision Transformers, Federated learning, AutoML, Self supervised learning, Causal ML, Reinforcement learning, Infrastructure as Code, DataOps (versioning, lineage, and governance), AIOps & MLOps life cycle (from deployment to monitoring to retirement), explainable AI, batch/online/streaming/edge training/inference, fully reproducible and auditable ML practices, CI/CD for large language models and large vision models, Multi Cloud & Hybrid data platforms, productized Docker/Spark/Kubernetes solutions such as Databricks and Snowflake, High throughput big data processing under redundancy / low latency requirements. Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $154,000 - $184,500 At Dana Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff that offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEOC Poster

Overview XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity. We are looking for a full-time Machine Learning Engineer with deep knowledge and enthusiasm for establishing a state-of-the-art ML infrastructure for training very large foundation models and accelerating model training/inference. You will work with a team of software engineers, machine learning engineers, and research scientists to push the boundary of state-of-the-art machine learning models enabling the next-generation end-to-end solution for autonomous driving. Responsibilities Design, train, and deploy large deep learning models that can leverage the vast amount of labeled and unlabeled data from a fleet of millions of vehicles. Minimum qualifications Master in Computer Science / Computer Engineering / Electrical Engineering, or equivalent, with 5+ years of industry experience. Good knowledge of PyTorch. Knowledge of model training frameworks (e.g., PyTorch Lightning). Knowledge of transformer architecture and ways to accelerate the training and inference of transformer models. Experience using PyTorch DDP for distributed training. Preferred qualifications PhD in Computer Science / Computer Engineering / Electrical Engineering, or equivalent, with 3+ years of industry experience. Strong publication record in top academic conferences or journals (e.g., CVPR, NeurIPS, ICML, ICCV, ECCV, ICLR). Experience in training large-scale vision or language models. Previous experience in the autonomous driving industry. Ability to solve complex problems collaboratively on larger teams. What we offer A fun, supportive and engaging environment. Infrastructure and computational resources to support your work. Opportunity to work on cutting-edge technologies with top talents in the field. Opportunity to make a significant impact on the transportation revolution through advancing autonomous driving. Competitive compensation package. Snacks, lunches, dinners, and social activities. Equal Opportunity We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other status protected by applicable law.

About The Team The Agentic Orchestration team builds and scales the core orchestration layer that powers Zillow's AI-driven experiences. We create a platform that enables domain teams across the company to extend and enhance agentic AI capabilities. This role requires an entrepreneurial approach and a driven curiosity about the constantly evolving field of LLMs, agentic systems, and AI-powered assistants. About The Role We are seeking a collaborative, product minded backend engineer with strong Python fundamentals and a passion for building reliable, scalable systems that power AI applications. Build and maintain the orchestration platform that routes requests, manages context, and integrates tools for agentic AI experiences. Contribute to platform infrastructure that enables domain teams across the company to build on top of the orchestrator without bottlenecks. Support scaling the orchestration layer to handle significant traffic increases as AI powered experiences expand to more users. Collaborate closely with applied scientists and machine learning engineers to integrate new AI capabilities into production systems. Participate in operations and reliability efforts including incident response, performance optimization, and cost management. Apply a growth mindset and first principles to ambiguous problems to iterate on novel solutions and ways of working. This role is a Remote position. U.S. employees may live in any of the 50 states, with limited exceptions. In addition to a competitive base salary and benefits, this position is also eligible for equity awards based on factors such as experience, performance, and location. Who you are Experience with agentic AI frameworks (e.g., LangChain, LangGraph) or large language model integration Experience building platform infrastructure that other teams consume as a service Experience with MCP (Model Context Protocol) or similar tool integration patterns for AI systems Experience with event driven architectures and streaming platforms (e.g., Kafka) Familiarity with data platforms and observability tooling (e.g., Databricks, DataDog) Experience in a startup environment or on a small team building products from scratch Experience collaborating with science, engineering, design, and product partners in a team with a startup culture Advanced degree (M.S. or Ph.D.) or equivalent experience in Computer Science Get to know us At Zillow, we're reimagining how people move-through the real estate market and through their careers. As the most visited real estate platform in the U.S., we help customers navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you'll be part of a company that's reshaping an industry and helping more people make home a reality. Zillow is honored to be recognized among the best workplaces in the country. Zillow was named one of FORTUNE 100 Best Companies to Work For in 2025, and included on the PEOPLE Companies That Care 2025 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow. No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry-and your career-forward, together. Equal Employment Opportunity Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. 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. If you have a disability or special requirement that requires accommodation, please contact your recruiter directly. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law. Los Angeles County applicants: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully; and following all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position, including the duties and responsibilities listed above. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

Healthcare Data Scientist/Engineer Category: Analytics and Emerging Digital Technologies Main location: United States, Tennessee, Knoxville Alternate Location(s): United States, Georgia, Atlanta United States, North Carolina, Charlotte United States, Texas, Houston United States, Texas, Dallas United States, Illinois, Chicago Position ID: J Employment Type: Full Time Position Description: CGI is seeking a versatile Healthcare Data Scientist/Engineer to join our team supporting CGI PulseAI for Healthcare delivery. This role is critical in bridging the gap between raw healthcare data and actionable insights. You will be responsible for designing and maintaining robust data pipelines while developing predictive models and analytics that improve health outcomes and operational efficiency. This role will work on a hybrid basis out of any location within the United States local to a CGI office. Your future duties and responsibilities: Data Engineering: Design, build, and maintain scalable ETL/ELT pipelines to ingest healthcare data (Claims, EMR/EHR, Pharmacy, and Lab results). Model Development: Develop and deploy machine learning models for risk stratification, disease prediction, and utilization management. Healthcare Interoperability: Work with healthcare data standards, including FHIR, HL7, and ICD-10/CPT coding. Data Quality: Ensure the integrity and security of Protected Health Information (PHI) in compliance with HIPAA regulations. Collaboration: Work closely with clinical staff and business stakeholders to translate complex data into clear, visual stories and strategic recommendations. Required qualifications to be successful in this role: Education: Master's or Bachelor's degree in Computer Science, Data Science, Statistics, or a related field. Experience: Minimum of 3 years of experience in a data-centric role, specifically within the healthcare or health insurance industry. Technical Stack: Languages: Proficiency in Python (Pandas, Scikit-learn, PySpark) and advanced SQL. Cloud: Experience with cloud platforms (AWS, Azure, or GCP) and big data tools (Databricks, Snowflake). Orchestration: Experience with Airflow, Databricks, and version control (Git). Domain Knowledge: Deep understanding of healthcare revenue cycles, payer operations, or clinical informatics. Preferred Skills Experience with Natural Language Processing (NLP) for unstructured clinical notes. Familiarity with Visualization tools like Tableau or PowerBI. Knowledge of Medical Claims lifecycle and Quality Measures (HEDIS/STARS). Pay Transparency & Benefits Anticipated Salary Range (Colorado & Remote): $89,600.00 - $188,100.00 USD Actual compensation will be determined based on factors such as geographical location, skills, experience, and education. Benefits: At CGI, we offer a comprehensive benefits package including: Competitive base salary and profit participation (bonus). Share Purchase Plan with employer match. Health, dental, and vision insurance. 401(k) retirement plan with company match. Flexible paid time off and paid holidays. Application Deadline: Applications for this role are accepted on an ongoing basis. We anticipate the initial application window to close by February 28, 2026. Skills: Cloud Computing Health Care Payers Python SQL What you can expect from us: Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world. Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business. CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at . You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned. We make it easy to translate military experience and skills! Clickhere () to be directed to our site that is dedicated to veterans and transitioning service members. All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances. CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI's legal duty to furnish information.

Staff Software Engineer, Machine Learning (Safety) San Francisco, CA Overview We are seeking an accomplished and experienced Staff Machine Learning Engineer - Safety ML to join our dynamic team. As a technical lead of the Safety ML team, you will be responsible for designing, developing, and maintaining our data and AI/ML infrastructure and services. You will collaborate with cross functional teams, including data scientists, software engineers, MLEs and product managers, to deliver modern and cutting edge solutions that improve safety on the platform. This role reports to the Senior Manager of Machine Learning, Safety. What You'll Be Doing Serve as the team's technical lead and mentor, guiding ICs through design, experimentation, and implementation while raising the technical bar. Define and drive the Safety ML team's technical strategy and roadmap. Set the bar in technical reviews, including code, design, and architecture, ensuring the team builds scalable, robust, and high quality ML systems. Collaborate cross functionally with product, data science, policy, legal, and engineering partners to align on safety goals and deliver effective solutions. Tackle the most complex and high impact challenges in safety, including adversarial abuse, harmful content detection, and evolving threat vectors. Develop cutting edge safety techniques, applying state of the art ML to detect and prevent harm while staying ahead of emerging abuse patterns. Influence the company's direction on safety, clearly communicating trade offs and technical constraints to senior leadership and stakeholders. What You Should Have 5+ years of experience in ML engineering or applied ML roles. 2+ years of experience applying ML in Trust & Safety to counter adversarial actors. Strong coding skills in Python and fluency in ML frameworks such as PyTorch, JAX, or TensorFlow. Proven experience building performant machine learning systems at scale and having driven the execution of large, impactful projects from ideation to production. Ability to think from first principles, approaching complex problems with creativity, clear reasoning, and pragmatic solutions. A growth mindset: seeking feedback, reflecting on decisions, and continuously improving. Excellent communication and collaboration skills, with a history of partnering effectively across engineering, data science, legal, policy, and product teams. Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a related field (Physics, Math, Operations Research, etc.). Compensation The US base salary range for this full time position is $272,000 to $306,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

Overview Equilibrium Energy is a team of technologists, power market experts, and AI pioneers reimagining how the world's most critical industry operates. We're building a first-of-its-kind AI operating system for the power sector, uniting cutting-edge science with real-world purpose to enable a cleaner, more resilient energy future. At EQ, you'll join a tight-knit group of brilliant, curious, and adventurous people who bring the same energy to collaboration as they do to innovation. Equilibrium Energy is a well-funded, Series B clean energy startup backed by prominent institutional investors in climate. New colleagues will share our vision that a next-generation energy company must be built from the ground up on deep industry expertise with a commitment to modern digital approaches. We are collaborative, talented, passionate, and resourceful, and we aim to lay the foundation for our important mission and ambitious plan. What we are looking for Equilibrium Energy is building the platform that will power the clean energy transition. As a Staff/ Sr Staff Software Engineer- Data Engineering, you will play a critical role in shaping our long-term data architecture. You'll lead the design and implementation of high-impact data initiatives that support energy trading, forecasting, and AI development. This is a hands-on role that blends platform engineering, advanced data processing, and cross-functional collaboration. You'll help scale our systems to enable near real-time decision-making and empower traders, data scientists, and operators to move faster with confidence. What you will do Design and implement the long-term data architecture using modern technologies and frameworks. Build and maintain scalable ETL/ELT pipelines in Python, SQL, and dbt-ingesting data via APIs, web scraping, and streaming sources. Develop and operate data pipelines using orchestration frameworks such as Temporal and Dagster. Design data models and schemas for our cloud warehouse (Databricks) and relational databases; contribute to the development of our ML feature store. Optimize workflows for performance and cost efficiency. Drive large, cross-functional data initiatives from planning to execution. Partner with AI and engineering teams to ensure high-quality datasets for machine learning and analytics. Collaborate with product managers, scientists, and engineers to gather requirements and deliver robust data products. Mentor other engineers in best practices for data ingestion, architecture, and scalable pipeline design. Support the software testing cycle, debug code, and resolve issues found during QA or user acceptance testing. Minimum qualifications Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field. 7+ years of progressive experience in data or software engineering. Advanced programming skills in Python and SQL. Experience building globally distributed data systems and real-time pipelines. Hands-on with orchestration/stream processing tools like Temporal, Dagster, Airflow, Spark, or Kafka. Strong knowledge of relational and NoSQL databases (e.g., Postgres, MySQL, MongoDB, ElasticSearch, Cassandra). Familiarity with data warehousing and cloud computing (Databricks and AWS preferred). Experience mentoring engineers and providing architectural direction. Strong analytical skills, with the ability to work with unstructured or ambiguous datasets. Commitment to data quality, testing, and observability. Experience with both OLTP and OLAP data processing systems. Nice to have additional skills Experience with energy market data or weather data sources (e.g., NWS, NOAA, Yes Energy). Experience using dbt for transformations and data quality checks. Collaborating with data science teams to build and productionize ML pipelines. Familiarity with DataOps practices and CI/CD for data workflows. Knowledge of real-time data technologies, graph databases, or unstructured data processing. Understanding of power systems, grid operations, or financial aspects of energy trading. Not sure this is the right role for you? We are a high growth company with accelerating hiring needs so there's a great chance we'll be able to create a custom role for you, now or in the future. All roles, titles and compensation packages are tailored to the applicant, so apply anyways and tell us in your cover letter about your dream role. What we offer Equilibrium is composed of deeply knowledgeable industry experts across all functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering. We are now designing components better and in a holistic and novel way to achieve global scale and climate impact. We pride ourselves on our empathetic and collaborative culture, honest and direct but respectful communication, and a balanced, flexible, and remote-first work environment. Employee benefits include: Competitive base salary and a comprehensive medical, dental, vision, and 401k package Opportunity to own a significant piece of the company via a meaningful equity grant Unlimited vacation and flexible work schedule Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech Equilibrium Energy is a diverse and inclusive, equal opportunity employer that does not discriminate on the basis of race, gender, nationality, sexual orientation, veteran status, disability, age, or other legally protected status.

Join to apply for the Senior Data Scientist role at Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the Senior Data Scientist role at Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. As a founding Data Scientist on the Strategic Finance Data Science team, you will design and implement critical models and analyses to support strategic decision-making and resource allocation across the organization. Responsibilities: • Become an expert in OpenAI's data and systems. Partnering with Data Engineering, Finance, and other teams, you'll self-serve data to derive critical insights. • Scale causal inference models to measure the impact of different actions on user growth and financial outcomes. • Architect customer segmentation frameworks to unlock tailored growth strategies and expand lifetime value. • Automate standardized reporting and analysis by building data products or agentic solutions. • Support product pricing and other business decisions with ad hoc analysis. • Design and deliver dashboards for leadership to track key performance indicators and enable optimal decision-making. • Manage and lead cross-functional data science projects end-to-end. Qualifications: Required: • MS or PhD in a quantitative field, with 7+ years of experience in a highly quantitative role, ideally as an early data scientist at a hyper-growth company or research organization. • Proficiency in Python, SQL, Tableau, and other analytical tools. • Strong analytical skills and experience working with large, complex data sets. • Proven ability to distill complex data into actionable insights for leadership. • Ability to independently initiate and complete projects, owning them end-to-end. • Excellent communication and storytelling skills when presenting data insights. • Exceptional attention to detail and a commitment to accuracy. Preferred: • You're an enthusiastic self-starter who thrives in fast-paced, dynamic environments. • You're a phenomenal teammate and communicator, able to explain complex topics with clarity and keep stakeholders proactively informed. • You're passionate about technology and artificial intelligence. • You use first-principles thinking to design solutions from the ground up based on user needs and operational realities. Company: OpenAI creates artificial intelligence technologies to assist with tasks and provide support for human activities. Founded in 2015, the company is headquartered in San Francisco, California, USA, with a team of 201-500 employees. The company is currently Growth Stage. OpenAI has a track record of offering H1B sponsorships. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function IndustriesSoftware Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified about new Data Scientist jobs in San Francisco, CA . San Francisco, CA $140,000.00-$170,000.00 3 days ago San Francisco, CA $140,000.00-$170,000.00 2 weeks ago San Francisco, CA $121,900.00-$161,600.00 4 days ago San Francisco, CA $150,000.00-$160,000.00 2 weeks ago San Francisco, CA $255,000.00-$405,000.00 3 days ago San Francisco, CA $122,000.00-$167,000.00 5 days ago Machine Learning Engineer (I, II, or Sr.) San Francisco, CA $190,000.00-$230,000.00 3 weeks ago San Francisco, CA $144,000.00-$192,000.00 3 weeks ago San Francisco, CA $85,000.00-$120,000.00 3 hours ago South San Francisco, CA $54.00-$97.00 2 weeks ago San Bruno, CA $119,000.00-$169,000.00 2 months ago San Francisco, CA $115,000.00-$185,000.00 3 weeks ago Data Scientist II - Experimentation & Measurement San Mateo, CA $153,300.00-$229,900.00 2 weeks ago San Francisco, CA $149,998.00-$250,000.00 6 days ago San Francisco County, CA $180,000.00-$250,000. hours ago San Francisco, CA $90,000.00-$150,000.00 1 month ago San Francisco, CA $152,000.00-$190,000.00 2 weeks ago San Francisco, CA $100,000.00-$200,000.00 7 months ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

About Quizlet At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We're energized by the potential to power more learners through multiple approaches and various tools. Let's Build the Future of Learning Join us to design and deliver AI powered learning tools that scale across the world and unlock human potential. About The Team The Personalization & Recommendations ML Engineering team builds the core intelligence behind how Quizlet matches learners with content, activities and experiences that best fit their goals. We power recommendation and search systems across multiple surfaces, from home feed and search results to adaptive study modes. Our mission is to make Quizlet feel uniquely tailored for every learner by combining cutting edge machine learning, scalable infrastructure and insights from learning science. You'll collaborate closely with product managers, data scientists, platform engineers and fellow ML engineers to deliver personalized learning pathways that drive engagement, satisfaction and measurable learning outcomes. About The Role As a Senior or Staff Machine Learning Engineer on the Personalization & Recommendations team, you'll design and build large scale retrieval, ranking, and recommendation systems that directly shape how learners discover and engage with Quizlet. You'll bring deep expertise in modern recommender systems - from deep learning based retrieval and embeddings to multi task ranking and evaluation - and help evolve Quizlet's personalization stack to power adaptive, effective learning experiences. You'll work at the intersection of machine learning, product design, and scalable systems, ensuring our recommendations are performant, responsible, and aligned with learner outcomes, privacy, and fairness. This is an onsite position in our San Francisco office; employees are required to work in the office at least three days per week (Monday, Wednesday, and Thursday). In This Role, You Will Design and implement personalization models across candidate retrieval, ranking, and post ranking layers, leveraging user embeddings, contextual signals, and content features. Develop scalable retrieval and serving systems using architectures such as Two Tower, deep ranking, and ANN based vector search for real time personalization across surfaces. Build and maintain model training, evaluation, and deployment pipelines, ensuring reliability, training serving consistency, and robust monitoring. Partner closely with Product and Data Science to translate learner objectives (engagement, retention, mastery) into measurable modeling goals and experimentation plans. Advance evaluation methodologies, refining offline metrics (e.g., NDCG, CTR, calibration) and supporting rigorous A/B testing to measure learner and business impact. Collaborate with platform and infrastructure teams to optimize distributed training, inference latency, and serving cost at scale. Contribute to the long term technical vision for personalization and recommendations, aligning modeling strategy with Quizlet's AI and product roadmaps. Stay current with RecSys research and industry trends, bringing relevant advances from top conferences (KDD, WSDM, SIGIR, RecSys, NeurIPS) into production. Mentor other engineers and applied scientists, fostering technical growth, experimentation rigor, and responsible ML practices. Champion collaboration, inclusion, and curiosity, helping build a team culture that values diverse perspectives and data driven problem solving. What You Bring To The Table 10+ years of experience in applied machine learning or ML heavy software engineering, with a strong focus on personalization, ranking, or recommendation systems. Track record of measurable impact, improving key online metrics such as CTR, retention, or engagement through recommender or search systems in production. Strong hands on skills in Python and PyTorch, with expertise in data and feature engineering, distributed training and inference on GPUs, and familiarity with modern MLOps practices - including model registries, feature stores, monitoring, and drift detection. Deep understanding of retrieval and ranking architectures, including Two Tower models, deep cross networks, Transformers, or MMoE, and how to apply them in production contexts. Experience with large scale embedding models and vector search (e.g., FAISS, ScaNN), including training, serving, and optimization at scale. Proficiency in experiment design and evaluation, connecting offline metrics (AUC, NDCG, calibration) with online A/B test results to drive product decisions. Ability to communicate complex technical ideas clearly, collaborating effectively with product managers, data scientists, and engineers across teams. Growth and mentorship mindset, contributing to team learning and helping raise the bar for modeling quality, experimentation, and reliability. Commitment to responsible and inclusive personalization, ensuring our ML systems respect learner privacy, fairness, and diverse goals. Bonus Points If You Have Publications or open source contributions in RecSys, search, or ranking. Familiarity with reinforcement learning for recommendations or contextual bandits. Experience with hybrid RecSys systems blending collaborative filtering, content understanding, and LLM based reasoning. Prior work in consumer or EdTech applications with personalization at scale. Compensation, Benefits & Perks Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $209,920 - $285,000, depending on location and experience, as well as company stock options. Collaborate with your manager and team to create a healthy work life balance. 20 vacation days that we expect you to take! Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice). Employer sponsored 401k plan with company match. Access to LinkedIn Learning and other resources to support professional growth. Paid Family Leave, FSA, HSA, commuter benefits, and wellness benefits. 40 hours of annual paid time off to participate in volunteer programs of choice. Why Join Quizlet • Massive reach: 60M+ users, 1B+ interactions per week • Cutting edge tech: Generative AI, adaptive learning, cognitive science • Strong momentum: Top tier investors, sustainable business, real traction • Mission first: Work that makes a difference in people's lives • Inclusive culture: Committed to equity, diversity, and belonging We strive to make everyone feel comfortable and welcome! We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing At Quizlet, we're excited about passionate people joining our team-even if you don't check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together. Quizlet's success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!

Clinical Data - Senior/ Staff Data Scientist About Sprinter Health At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can't get to a doctor's office. For many, the ER becomes their first touchpoint with the healthcare system-driving over $300B in avoidable costs every year. We have supported more than 2 million patients across 22 states, completed 130,000+ in home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators has raised over $125 M from investors such as a16z, General Catalyst, GV, and Accel. About The Role We're hiring a Senior/Staff Data Scientist to tackle high impact problems across logistics, patient behavior, clinical operations, and population health. This is a 0 1 role where your work directly shapes how care is delivered, optimized, and scaled. You'll turn messy, real world healthcare data into insights that drive product direction, operational efficiency, and patient outcomes. Office Location We are a hybrid company based in the Bay Area with offices in San Francisco and Menlo Park. We care about work life balance and understand that there will be times where flexibility is needed. What You Will Do Explore clinical, operational, and patient engagement data to surface actionable insights. Analyze routing, capacity planning, and supply demand dynamics across regions. Identify drivers of preventive care engagement and patient follow through. Predict cancellations, risk, and future care needs using behavioral and clinical signals. Design and evaluate A/B experiments across product, growth, and operations. Support internal teams with dashboards, analytics, and ad hoc decisions. Help shape the data function's standards, tooling, and processes as an early leader. What You Have Done 5+ years in data science, advanced analytics, or applied data modeling. Worked with large, messy datasets to answer ambiguous, high stakes questions. Built dashboards or visualizations using Looker, Tableau, Grafana, Superset, or similar. Written high quality SQL across warehouses like BigQuery, Snowflake, or Redshift. Influenced product, ops, or strategy decisions through data insight and storytelling. Presented findings to leadership and collaborated with cross functional teams. What Gives You An Edge Experience with Python, Pandas, Scikit learn, or ELK (Elasticsearch + Kibana).> Exposure to GCP data tools like BigQuery, DataFlow, or DataForm. Familiarity with healthcare data (claims, HL7, CCDAs, HIEs). Experience with logistics, routing, or operational optimization problems. Designed or analyzed growth experiments or user behavior funnels. Communicated insights to C level stakeholders or mentored junior talent. Our Tech Stack Python, SQL, Superset, Looker, Tableau, Grafana. BigQuery, Snowflake, Redshift. Elasticsearch / Kibana. FHIR, HL7, claims data (bonus). Pandas, Scikit learn, DataForm, DataFlow. What We Offer Meaningful pre IPO equity. Medical, dental, and vision plans paid 100% for you and your dependents. Flexible PTO + 10 paid holidays per year. 401(k) with match. 16 week parental leave for birthing parent, 8 weeks for other parents. HSA + FSA contributions. Life insurance, short and long term disability coverage. Free daily lunch in office. Annual learning stipend. $180,000 - $225,000 a year. Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes. Beware of recruitment fraud and scams. If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles on our official Sprinter Health Careers website.

Location San Francisco (hybrid), Toronto (hybrid) Employment Type Full time Location Type Hybrid Department Data Science Compensation San Francisco $215K - $323K • Offers Equity Toronto, Canada CA$180K - CA$271K • Offers Equity The salary range provided reflects the compensation that EvenUp reasonably expects to offer for this role. The specific salary within this range will be determined based on various factors, including the candidate's relevant experience, education, skills, location, and alignment with the role's responsibilities. EvenUp is on a mission to close the justice gap using technology and AI. We empower personal injury lawyers and victims to get the justice they deserve. Our products enable law firms to secure faster settlements, higher payouts, and better outcomes for victims injured through no fault of their own in vehicle collisions, accidents, natural disasters, and more. We are one of the fastest-growing vertical SaaS companies in history, and we are just getting started. EvenUp is backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures, SignalFire, and Lightspeed. We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact. Learn more at . About the team At EvenUp, we leverage cutting edge AI to bring fairness and accessibility to the legal system. Tackling the most complex legal document challenges requires expertise in data quality, robust model development, and ongoing innovation. That's why we're seeking a Staff Machine Learning Engineer eager to join EvenUp's mission. Our interdisciplinary team - with backgrounds in industry as well as academic research in physics, ML, neuroscience, and more - hopes to foster an environment where we can systematically discover state of the art techniques and be the best in the world at applying them to the challenging problems we encounter in the legal domain. In fact, we already have a number of areas where we exceed the publicly known SOTA and this person will help us expand beyond. This is a hybrid role with the expectation of working at least 3 days a week from one of our office hubs in San Francisco and Toronto. What you'll do Develop Advanced Document AI Models Design and refine ML models for entity/relationship extraction, document structure understanding, and sophisticated information retrieval and reasoning from legal and medical text. Conduct hands on data analysis to ensure high quality training and evaluation datasets, including identification and management of outliers, mislabeled data, edge cases, noise, and drift; work with data stakeholders to iteratively improve data quality. Solve Complex Modeling Challenges Tackle long context and multi document reasoning challenges, including prompt design, context segmentation, and aggregation of distributed facts. Develop strategies to reduce hallucinations, improve factual consistency, and handle ambiguous, noisy, or incomplete data. Lead LLM Fine tuning Apply reinforcement learning with verifiable reward signals to fine tune LLMs for factual and extraction accuracy. Apply parameter efficient fine tuning (e.g., LoRA, QLoRA) to maximize model performance. Experiment with and benchmark advanced prompt engineering techniques (few shot, chain of thought, instruction tuning), balancing context length and extraction accuracy. Provide Leadership & Collaboration Mentor and guide a team of ML engineers and data scientists, fostering a rigorous and creative modeling culture. Collaborate with product, engineering, and legal experts to deliver robust, business impactful solutions. Establish and maintain best practices for experimentation, benchmarking, and documentation in modeling. What we look for 10+ years of experience in machine learning with multiple models deployed in operational settings. PhD in Machine Learning, Computer Science, or other quantitative fields. Strong proficiency with the latest Large Language Model (LLM) technologies. Expertise in one or more areas of machine learning, such as deep learning, reinforcement learning, probabilistic modeling, or optimization. Strong communication, collaboration, and coaching skills. High proficiency in a procedural programming language (e.g. Python). Ability to translate and apply cutting edge research into practical solutions. Strong leadership and mentorship abilities, with a passion for guiding and developing other team members. Job title and level to be determined by several factors including on the candidate's background and experience and interview. Notice to Candidates EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team - please know that we have no affiliation or connection to these situations. We only post open roles on our career page or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the no or no email addresses. To ensure fairness and proper consideration, we do not accept resumes or expressions of interest via email or social media messages. If you're interested in a role, please submit your application directly through our careers page. If you receive communication from someone you believe is impersonating EvenUp, please report it to us at . Examples of fraudulent domains include and . Benefits & Perks As part of our total rewards package, we offer attractive benefits and perks to our employees, including: Choice of medical, dental, and vision insurance plans for you and your family Additional insurance coverage options for life, accident, or critical illness Flexible paid time off, sick leave, short term and long term disability 10 US observed holidays, and Canadian statutory holidays by province A home office stipend 401(k) for US based employees and RRSP for Canada based employees Paid parental leave A local in person meet up program Hubs in San Francisco and Toronto Please note the above benefits & perks are for full time employees. EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Compensation Range: $215K - $323K

A leading car sharing marketplace is seeking a Staff Data Scientist in San Francisco to drive their dynamic pricing strategy. The role involves creating advanced pricing models using econometrics and machine learning. Candidates should have significant experience, strong analytical skills, and proficiency in Python, SQL, and statistical methods. This hybrid position emphasizes collaboration, as employees are expected to work in the office three days a week. The competitive salary for this role ranges from $156,000 to $195,000 annually, along with equity and benefits.

Data Scientist, Capacity Efficiency, Mid-Level Join to apply for the Data Scientist, Capacity Efficiency, Mid-Level role at Jobright.ai Data Scientist, Capacity Efficiency, Mid-Level 2 days ago Be among the first 25 applicants Join to apply for the Data Scientist, Capacity Efficiency, Mid-Level role at Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Anthropic is a public benefit corporation focused on creating reliable and beneficial AI systems. The Data Scientist, Capacity Efficiency will play a crucial role in optimizing computing resources to support the deployment of AI, working closely with various teams to analyze data and forecast capacity needs. Responsibilities: • Analyze infrastructure and utilization data to define key metrics, understand trends, set team goals, provide actionable insights and identify optimization opportunities. • Partner with stakeholders across engineering, research, product, operations and finance to improve predictability of capacity utilization and optimize the allocation of capacity across different users and products. • Develop models to forecast future capacity needs based on business growth projections and product roadmaps. • Identify and size opportunities to optimize infrastructure costs and performance, influencing the roadmap through your insights and recommendations. • Build a data-driven culture within the infrastructure team by establishing foundational data best practices and making data more accessible. Qualifications: Required: • 6+ years of experience in data science roles, specializing in solving infrastructure problems, with a focus on capacity/compute. • Knowledge of cloud based billing systems and efficiency optimization. • A passion for the company's mission of building helpful, honest, and harmless AI. • Expertise in Python, SQL, and data visualization tools. • A bias for action and urgency, not letting perfect be the enemy of the effective. • A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress. • A deep curiosity and energy for pulling the thread on hard questions. • Experience in turning open questions and data into concise and insightful analysis. • Highly effective written communication and presentation skills. • We require at least a Bachelor's degree in a related field or equivalent experience. Company: Anthropic is an AI research company that focuses on the safety and alignment of AI systems with human values. Founded in 2021, the company is headquartered in San Francisco, California, USA, with a team of employees. The company is currently Late Stage. Anthropic has a track record of offering H1B sponsorships. Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function IndustriesSoftware Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for "Data Scientist" roles. San Francisco, CA $160,000.00-$180,000.00 2 weeks ago San Francisco, CA $130,000.00-$238,000.00 2 weeks ago San Francisco, CA $150,000.00-$250,000.00 2 weeks ago Full-Stack Software Engineer (Jr/Mid level) San Francisco, CA $120,000.00-$180,000.00 1 month ago San Francisco, CA $57.00-$61.00 3 days ago San Francisco, CA $150,000.00-$230,000.00 3 months ago San Francisco, CA $57.00-$61.00 3 days ago San Francisco, CA $150,000.00-$283,000.00 2 weeks ago Software Engineer, AI Intern (Winter 2026) San Francisco, CA $57.00-$61.00 3 days ago Software Development Engineer I - Frontend & Mobile San Francisco, CA $99,500.00-$200,000.00 2 weeks ago Software Engineer, AI Intern (Summer 2026) San Francisco, CA $57.00-$61.00 3 days ago San Francisco, CA $150,000.00-$176,000.00 3 months ago San Francisco, CA $120,000.00-$190,000.00 9 months ago Graduate Software Engineer (Redwood City, CA) San Francisco, CA $125,000.00-$175,000.00 2 months ago San Francisco, CA $163,200.00-$223,200.00 2 weeks ago Software Engineer, Frontend (All Levels) San Francisco, CA $150,000.00-$180,000.00 6 days ago San Francisco, CA $165,000.00-$165,000.00 2 years ago San Francisco, CA $120,000.00-$200,000.00 2 years ago San Francisco, CA $140,000.00-$280,000.00 8 months ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

A healthcare technology firm in San Francisco is hiring a Senior/Staff Data Scientist to transform messy real-world healthcare data into actionable insights. This hybrid role involves tackling high-impact issues related to logistics, patient behavior, and clinical operations. Candidates should have over 5 years in data science and strong SQL skills. The company offers pre-IPO equity, 100% paid medical and dental plans for employees, and a flexible PTO policy.

A leading autonomous driving technology company in California is seeking experienced software engineers and data scientists for a hybrid role focused on improving software quality and performance evaluation. Candidates should have strong skills in statistical analysis, C++, and data processing, and possess a relevant degree. The role offers a competitive salary range and opportunities to work on innovative technology solutions.

Get AI-powered advice on this job and more exclusive features. At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects. Position Overview We are looking for a Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. This will require close collaboration with our robotics, research, and engineering team. Your work will directly impact the development of intelligent, adaptable robots capable of learning and performing complex tasks autonomously. Responsibilities Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications. Design and conduct experiments to train RL models and conduct real-world tests. Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training. Communicate effectively with inference, application, and deployment engineers to integrate RL models into robotic systems and iterate on methods to enable robust deployment. Analyze and interpret experimental results, iterating on model design to achieve desired performance. Stay up-to-date with the latest research and advancements in reinforcement learning. Preferred Qualifications BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience. Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc. Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.). Strong background in algorithms, data structures, and software engineering principles. Experience with physics simulation engines and tools for training RL. Deep understanding of state-of-the-art machine learning techniques and models. Extensive industry experience with reinforcement learning and robotic systems. Base Salary Range: $100,000 USD - $300,000 USD Seniority level Seniority levelEntry level Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Skild AI by 2x Sign in to set job alerts for "Machine Learning Engineer" roles. Sunnyvale, CA $141,000.00-$202,000.00 2 weeks ago San Francisco, CA $130,000.00-$230,000.00 5 months ago Software Engineer, AI Platform - New GradStaff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube Sunnyvale, CA $141,000.00-$202,000.00 2 weeks ago San Jose, CA $113,500.00-$250,000.00 6 days ago San Jose, CA $120,700.00-$228,600.00 1 week ago San Jose, CA $119,000.00-$177,000.00 1 day ago Palo Alto, CA $150,000.00-$220,000.00 3 weeks ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube San Jose, CA $120,700.00-$228,600.00 1 week ago New Grads 2025 - Software Engineer, Algorithm San Jose, CA $120,000.00-$165,000.00 9 months ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, Google AdsData Scientist, Energy Analytics, Google Cloud Sunnyvale, CA $166,000.00-$244,000.00 1 week ago Data Scientist III, Research, Search AI Overview Mountain View, CA $141,000.00-$202,000.00 1 week ago New Grads 2025 - Software Engineer - Computer Vision/Deep Learning San Jose, CA $120,000.00-$165,000.00 8 months ago San Francisco Bay Area $115,000.00-$185,000.00 3 weeks ago Data Scientist III, Research, Search Ads Mountain View, CA $141,000.00-$202,000.00 1 week ago San Jose, CA $113,500.00-$250,000.00 4 days ago San Francisco, CA $140,000.00-$215,000.00 1 month ago San Francisco, CA $130,000.00-$238,000.00 2 weeks ago Machine Learning Engineer (I, II, or Sr.) Mountain View, CA $125,400.00-$188,100.00 2 weeks ago Menlo Park, CA $180,000.00-$200,000.00 4 weeks ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Get AI-powered advice on this job and more exclusive features. The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third party payment networks; we provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Ven investor, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end to end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and fré, and manage risk. We enable consumers to engage in cross border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross border trade. Our beliefs are the foundation for how we conduct business Agricultural each day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Description Summary As a Machine Learning Engineer on Venmo's Data Science team, you'll tackle high impact challenges that shape how millions of people move and manage money with friends, family, and businesses. Our work spans personalization, retention, trust, discovery, and growth - from predicting churn before it happens to powering Venmo's search and recommendations, to building smarter fraud and risk models. You'll leverage Venmo's unique social graph and financial ecosystem to design ML solutions that drive engagement, safety, and meaningful product experiences. Key Roles and Responsibilities - Design, build, and deploy production grade machine learning models that power personalization, search, ranking, discovery, andجب core product experiences. - Use machine learning to drive monetization and deliver user value-supporting initiatives such as pricing strategy, feature optimization, and behavioral targeting. - Partner with product managers, engineers, and designers to identify high impact opportunities, frame problems as ML tasks, and define measurable success. - Lead the full lifecycle of model development brev data exploration and feature engineering to validation, deployment, and monitoring in production. - Conduct rigorous offline evaluations and design online experiments (e.g., A/B tests) to assess model impact and guide iteration internal - Collaborate_birth data and platform engineering teams to ensure scalable infrastructure, low latency serving, and long term system maintainability. - Communicate technical insights and data driven recommendations clearly to both technical and non technical stakeholders. - Mentor junior scientists and contribute to the evolution of Venmo's machine learning strategy, practices, and team culture. Basic Requirements gëttyside • Advanced degree (M.S. or Ph.D.) in a quantitative field such as Computer Science, Machine Learning, Statistics, or Applied Mathematics. • Strong proficiency in Python and experience with modern ML libraries (e.g., scikit learn, TensorFlow, PyTorch, XGBoost). • Expertise in supervised and unsupervised learning; experience with NLP, ranking systems, or user behavior modeling is aplus. • Proficiency in SQL and experience working with large scale data systems in cloud based environments (e.g., BigQuery المنزل, Spark, Airflow). • Demonstrated success deploying ML models in production, including monitoring, retraining, and debugging. • Excellent problem solving and communication skills, with the ability to translate complex technical ideas into actionable product insights. • A collaborative mindset with a passion for mentoring, experimentation, and continuous improvement. Additional Responsibilities And Preferred Qualifications (Nice to Have) • Experience in social platforms, fintech, consumer apps, or payments ecosystems. • Familiarity with real time ML model serving and streaming infrastructure. • Contributions to research publications or open source ML projects. Actual Compensation is based on various factors including but not limited to work location, and') For the readability of the context, the formatted description is omitted for long? Wait we need proper.