Data Scientist MetriportData ScientistSan Francisco, CaliforniaDay to day, this looks like: Applying AI/ML to Clinical Data: Building and deploying models to predict patient outcomes, identify gaps in care, or surface anomalies across our data warehouse. Productizing Intelligence: Designing and shipping data-science-powered features as core parts of the Metriport platform — not just internal experiments, but things customers use.
AI Technical Project Lead - SFL Scientific Deloitte Touche Tohmatsu LtdAI Technical Project Lead - SFL ScientificSan Jose, CA$128,000–$252,500 / yearYou will lead strategic planning and coordination, which may include development of comprehensive data strategies, data and AI governance frameworks, support testing and organizational change management plans, and the establishment of data science environments that allow technical teams to deliver novel products, tools, and services. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.
Director of Software Engineering - Data Platforms - #4919 GRAILDirector of Software Engineering - Data Platforms - #4919Sunnyvale, CA$224,000–$321,000 / yearThe ideal candidate brings over 15 years of software engineering experience, combining deep technical expertise in big data, cloud infrastructure, and AI-driven workflows (including RAG and LLM applications) with a proven track record of scaling engineering teams (10+ headcount). We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine’s greatest challenges.
Research Scientist - Central Applied Science Meta Platforms IncResearch Scientist - Central Applied ScienceMenlo Park, CAWork with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products which impact the business Develop novel quantitative methods on top of Meta's unparalleled data infrastructure Work towards long-term ambitious research goals, while identifying intermediate milestones Communicate best practices in quantitative analysis to partners Work both independently and collaboratively with other scientists, engineers, and product managers to accomplish complex tasks that deliver demonstrable value to Meta's community of over 3.8 billion users Actively identify new opportunities for scientific tooling and systems to yield outsized impact, in line with Central Applied Science's role and mission within MetaBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience PhD in computer science, statistics, operations research or a related field 4+ years of industry experience in an applied R&D capacity or similar function Publications in Machine Learning, AI, computer science, statistics, data science, or related technical fields Experience analyzing datasets using languages such as Python Experience using machine learning and deep learning frameworks, such as PyTorch, TensorFlow or scikit-learn Experience developing algorithms in languages such as Python, C, C++ or Java Experience analyzing large datasets using tools such as Presto, Hive or Spark Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment Track record of building end-to-end systems which bring science and engineering to solve critical business problems Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Engagement with leaders to drive decision-making based on a thorough understanding of science and business constraintsMeta builds technologies that help people connect, find communities, and grow businesses. Individuals in this role are expected to perform well in a research engineering capacity and hold publications within research areas including artificial intelligence, machine learning, statistics, operations research, causal inference and experimentation.
NewProduct Manager, AI Training Data Google LLCProduct Manager, AI Training DataSan Jose, CAPartner with research and product teams across DeepMind, Research, and Core to deeply understand their evolving training data needs and deliver high-quality, compliance-vetted datasets for next-generation models. By optimizing pipeline cycle times and building specialized curation systems for key verticals like Code and Multimodal data, you will deliver, compliant platforms that accelerate model development and power Google's AI future.
Senior Control Systems Networking Engineer, Data Center Google LLCSenior Control Systems Networking Engineer, Data CenterSan Francisco, CAIdentify opportunities for continuous improvement and maturation of the OT environment to drive risk reduction, and serve as a technical liaison and collaborate between cross-functional teams to resolve complex design, integration, and deployment issues in mission-critical environments. Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Sunnyvale, CA, USA; Addison, TX, USA; New York, NY, USA; Reston, VA, USA; San Francisco, CA, USA; Austin, TX, USA; Atlanta, GA, USA.
Senior Software Engineer, Agentic AI Platform C3.ai IncSenior Software Engineer, Agentic AI PlatformRedwood City, CA$160,000–$219,000 / yearC3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Architect and build the systems, tools, and frameworks that let data scientists and developers create, deploy, and operate agentic AI applications on the C3 Agentic AI Platform - applying sound design principles to ground agents in governed enterprise data and run them on reliable, scalable runtimes and end-to-end pipelines in a distributed system.
Machine Learning Scientist, Applied Machine Learning and Agentic AI, Pharma R&D Tempus AI IncMachine Learning Scientist, Applied Machine Learning and Agentic AI, Pharma R&DRedwood City, CA$100,000–$150,000 / yearThe Machine Learning Scientist, Applied Machine Learning and Agentic AI will contribute to the technical development of cutting-edge agentic frameworks designed to automate the discovery of novel prognostic and predictive models in oncology. You will apply advanced scientific methodologies to develop new predictive models and utilize causal inference frameworks to analyze vast multimodal oncology data, helping to scale scientific discovery from a manual process to a high-throughput, automated engine.
Translational Scientist, Applied Machine Learning And Agentic AI, Pharma R&D TempusTranslational Scientist, Applied Machine Learning And Agentic AI, Pharma R&DRedwood City, CA$100,000–$150,000 / yearYou will apply advanced scientific methodologies to develop new predictive models and utilize causal inference frameworks to analyze vast multimodal oncology data, helping to scale scientific discovery from a manual process to a high-throughput, automated engine. The Translational Scientist, Applied Machine Learning and Agentic AI will contribute to the technical development of cutting-edge agentic frameworks designed to automate the discovery of novel prognostic and predictive models in oncology.
Senior Machine Learning Scientist I, Drug Discovery Analytics Revolution Medicines, Inc.Senior Machine Learning Scientist I, Drug Discovery AnalyticsRedwood City, CA$229,000–$269,000 / yearThe company's RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. Please note that base pay salary range is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities.
Senior Machine Learning Scientist II, Drug Discovery Analytics Revolution Medicines, Inc.Senior Machine Learning Scientist II, Drug Discovery AnalyticsRedwood City, CA$251,000–$295,000 / yearThe company's RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. Please note that base pay salary range is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities.
NewSr. Associate Scientist, Drug Substance-Data Science (Contract) Allogene TherapeuticsSr. Associate Scientist, Drug Substance-Data Science (Contract)South San Francisco, CA$45–$50 / hourLed by a management team with significant experience in cell therapy, Allogene is developing a pipeline of “off-the-shelf” CAR T cell product candidates with the goal of delivering readily available cell therapy on-demand, more reliably, and at greater scale to more patients. Allogene Therapeutics, with headquarters in South San Francisco, is a clinical-stage biotechnology company pioneering the development of allogeneic chimeric antigen receptor T cell (AlloCAR T) products for cancer and autoimmune disease.
Sr. Associate Scientist, Drug Substance-Data Science (Contract) Allogene Therapeutics IncSr. Associate Scientist, Drug Substance-Data Science (Contract)South San Francisco, CA$45–$50 / hourLed by a management team with significant experience in cell therapy, Allogene is developing a pipeline of "off-the-shelf" CAR T cell product candidates with the goal of delivering readily available cell therapy on-demand, more reliably, and at greater scale to more patients. About Allogene: Allogene Therapeutics, with headquarters in South San Francisco, is a clinical-stage biotechnology company pioneering the development of allogeneic chimeric antigen receptor T cell (AlloCAR T) products for cancer and autoimmune disease.
Staff Machine Learning Scientist Hinge HealthStaff Machine Learning ScientistSan Francisco, CaliforniaThe company has designed its platform to address a broad spectrum of MSK care—from acute injury, to chronic pain, to post-surgical rehabilitation—and the platform can help to ease members’ pain, improve their function, and reduce their need for surgeries, all while driving health equity by allowing members to engage in their exercise therapy sessions from anywhere. Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live.
Solution Architect Tekfortune Inc.Solution ArchitectSan Francisco, CATekfortune is a fast-growing consulting firm specialized in permanent, contract & project-based staffing services for world s leading organizations in a broad range of industries. Cloud Infrastructure: Oversee cloud infrastructure modernization, leveraging Azure Kubernetes Service (AKS), Azure Functions, and microservices.
Sr. Product Manager, Data Governance DataBricksSr. Product Manager, Data GovernanceSan Francisco, CA$156,600–$215,250 / yearThis role is requires coordinating all product activities from vision to implementation, including engaging large enterprise customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success. Define and build new platform services that enable Databricks' data & AI product teams (ML/AI, Data Science & Engineering, Data Warehousing, etc.) to easily add new workload-specific governance capabilities that enhance the value of Unity Catalog and the Lakehouse.
Software Engineer - Full Stack (Data/Platform Heavy, Senior Level) AvelaSoftware Engineer - Full Stack (Data/Platform Heavy, Senior Level)San Francisco, California$150,000–$185,000 / yearTech stack includes React + TypeScript, Chakra UI, Hasura & GraphQL, AWS Lambda, AWS Serverless Services (Fargate, Aurora, S3, SNS, etc), AWS RDS w/ PostgreSQL, AWS CDK, AWS CodeBuild, AWS Amplify, etc. Our platform has four parts to cover each stage of the application journey, from exploring options to applying and final selection and admission: Avela Explore- Mobile-optimized school finder and opportunity navigator Avela Apply- Streamlined application management system and tracking Avela Match- Research-based admission and student assignment lottery system.
Senior Software Engineer, Data Lila Sciences IncSenior Software Engineer, DataSan Francisco, CA$144,000–$288,000 / yearWe are seeking Senior Software Engineers with backend experience to join our Data Platform Team (Data), where you'll collaborate with software engineers, lab scientists, and machine learning engineers to build cutting-edge tools for automated scientific analysis and more. Full-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program.
Senior Product Manager II- Commerce and Personalization The Walt Disney CompanySenior Product Manager II- Commerce and PersonalizationSan Francisco, CaliforniaJob Posting Segment: Commerce, Data & Identity Job Posting Primary Business: CGI - Data Product Primary Job Posting Category: Product Management Tech Employment Type: Full time Primary City, State, Region, Postal Code: San Francisco, CA, USA Alternate City, State, Region, Postal Code: USA - CA - 1200 Grand Central Ave, USA - CA - 2450 Broadway, USA - NY - 7 Hudson Square Date Posted: 2026-06-11 Product Management is responsible for driving the overall user experience, feature strategies and concepts, and engagement paradigms for Disney Entertainment & ESPN's global portfolio of consumer-facing streaming and digital products – including Disney+, Hulu, ESPN, ABC, ABC News, Nat Geo, Marvel, and Star Wars.
Senior AI Engineer h2o.aiSenior AI EngineerSan Francisco, CAFull timeBuild and maintain trusted relationships with customer data science teams, engineering leads, and executive stakeholders – translating business needs into technical direction and back again. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data.
Engagement Manager Credit Modeling Inizio Partners CorpEngagement Manager Credit ModelingSan Francisco, CaliforniaThe ideal candidate will be responsible for leading the development and deployment of machine learning models that power key business decisions such as collections models, credit risk scoring, fraud detection, customer segmentation, and personalized financial services. We are seeking a highly skilled and experienced Machine Learning Modeling Lead to join our ML Model Innovation team within the banking domain (digital lending).
Principal Product Manager - AI & Intelligent Manufacturing Systems FictivPrincipal Product Manager - AI & Intelligent Manufacturing SystemsOakland, CA$210,000–$230,000 / yearThis role is ideal for a seasoned product leader with experience bringing AI-first enterprise platforms to life - someone equally comfortable discussing model architectures and data pipelines as they are business value and market differentiation. As our Principal Product Manager - AI & Intelligent Manufacturing Systems, you'll serve as a strategic and technical thought leader driving the vision, roadmap, and execution of AI-powered capabilities across MISUMI Americas Manufacturing Quoting and Fulfillment Platform.
Senior Applied Ai/Ml Scientist - Compass FaireSenior Applied Ai/Ml Scientist - CompassSan Francisco, CA$211,000–$290,500 / yearShip retailer-assistant features end-to-end - across the FLARE Python app, data plumbing, tool wrappers, and the frontend surfaces where the assistant appears, using AI-native workflows to multiply your output. 5+ years of industry experience building and shipping production ML/AI systems with measurable business impact - including hands-on ownership of the applied-science side (data, evaluation, modeling, quality), not just system plumbing.
NewAssociate Director, Clinical Data Management Summit Therapeutics IncAssociate Director, Clinical Data ManagementPalo Alto, CA$174,000–$204,000 / yearLeads, designs and/or oversees eCRF design, eCRF specifications, eCRF completion guidelines, annotated CRFs, User Acceptance Testing, query logic, edit checks, data query resolution, SAE reconciliation between clinical and pharmacovigilance databases, vendor data reconciliation & cleaning, data migration and database closeout for clinical trials. Additionally, the position will manage data management staff, Contract Research Organizations (CROs) and service providers'' activities in overseeing the data management process life cycle in coordination with internal Biostatistics, Clinical, and Regulatory teams to ensure the accurate, efficient, and complete data collection for clinical trials.
Scientist I LancesoftScientist ISouth San Francisco, CA$57.97The successful candidate will excel in a dynamic, collaborative research environment, demonstrate exceptional problem-solving skills, and effectively communicate across scientific disciplines to contribute to the development of cutting-edge ocular disease models and help shape the future of ocular drug discovery and development. Designing and executing experiments to characterize lung models, including evaluation of cell viability, morphology, and barrier integrity and function, using techniques such as cytotoxicity assays, confocal and high-content imaging, transepithelial resistance/permeability assays, and transcriptomic and proteomic analyses.
GCP GenAI/ Agentic AI Architect PeopleNTech LLCGCP GenAI/ Agentic AI ArchitectSanta Clara, CAExperience working with Vector databases & design & deploy RAG pipelines, MCP Servers & A2A Implement robust LLMOPs - for continuous integration, deployment, monitoring, logging, and troubleshooting mechanisms for GenAI applications. Design & Implement Agentic AI systems using agent frameworks (AutoGen, LangGraph, CrewAI, etc.) to build multi-agent and goal-oriented systems.
Data Scientist - AI/ML Stamford American International HospitalData Scientist - AI/MLPalo Alto, CA$79.21–$104.97 / hourThis group is designed to bring Artificial Intelligence (AI), predictive algorithms and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals across clinical specialties and operations areas to deploy algorithms that can lead to better patient outcomes. Reporting to the Data Science Director and working closely with Stanford Medicines inaugural Chief Data Scientist, this role is responsible for developing predictive algorithms and other machine learning (ML) based innovations in data science into healthcare in a safe, ethical and cost-effective manner.
Senior Data Scientist Engineer - SFL Scientific Deloitte Touche Tohmatsu LtdSenior Data Scientist Engineer - SFL ScientificSan Jose, CA$128,000–$252,500 / yearWorking with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.
Staff Data Scientist, Planning And Forecasting QuinceStaff Data Scientist, Planning And ForecastingPalo Alto, CA$250,000–$285,000 / yearThis includes demand forecasting at multiple geographic scales, methodology-agnostic forecasting tournaments, inventory placement optimization across a growing international network, vendor performance modelling, and the raw material signal generation that links the forecast back to procurement before failures happen. Own the science workstreams end-to-end: the forecasting tournament implementation, the inventory placement optimization, the vendor performance system, or the raw material signal pipeline - across methodology, production model, and iteration loop.
Data Scientist, Product Harvey, Inc.Data Scientist, ProductSan Francisco, CA$155,000–$260,000 / yearEmbed with Product and Engineering teams as a trusted analytical partner, identifying opportunities to improve user experience, adoption, retention, and business impact. Experience with AI/ML products, large language models, developer tools, enterprise software, or products used in complex professional workflows.
Senior Data Scientist - Network Value Plaid IncSenior Data Scientist - Network ValueSan Francisco, CAYou'll translate business questions into analytics projects, perform ad-hoc and strategic analysis, improve visibility into core systems through data modeling and dashboarding, create OKRs quantifying progress against business goals, support feature ship decisions through experimentation, and build ML prototypes and causal inference models. We translate ambiguous product questions into tractable analysis, serve as analytical thought partners throughout the org, identify opportunities to build better products, and champion a data-first decision-making approach everywhere we go.
Senior Maching Learning & Data Scientist, OS Power & Performance Apple IncSenior Maching Learning & Data Scientist, OS Power & PerformanceCupertino, CAD. in Computer Science, Electrical Engineering, Applied Mathematics, Statistics, or a similar quantitative field, with strong statistical skills and intuition Proficiency in distributed compute & storage technologies such as HDFS, S3, Iceberg, Spark, and Trino Proficiency with designing ETL flows and automation/scheduling (e.g. Kubernetes and Airflow) Working knowledge of Operating Systems Experience driving cross-functional projects with diverse sets of stakeholders Skilled at connecting data insights to the companys overall strategy and objectives.
IT Knowledge & Training Data Scientist, Employee Experience & Productivity, IS&T Apple IncIT Knowledge & Training Data Scientist, Employee Experience & Productivity, IS&TSunnyvale, CAMonitor data quality across knowledge and training data sources, flagging issues proactively and working with data engineering to resolve them.3+ years of experience working with learning and development data, including training platforms, content performance metrics, or learner engagement data. In this role, you will support IS&Ts Knowledge & Training group by building and maintaining the analytical assets it relies on - dashboards, reports, and ad-hoc analyses that surface how training programs and knowledge resources are performing across the organization.
Data Scientist MercorData ScientistSan Francisco, CaliforniaMercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents. Curiosity about LLM evaluation, retrieval, and ranking is a bonus; you’ll learn alongside folks who’ve shipped at Jane Street, Citadel, Databricks, and Stripe.
Senior Data Scientist, Strategic Modeling & Simulation Apple IncSenior Data Scientist, Strategic Modeling & SimulationCupertino, CAExperience with simulation systems, probabilistic modeling, Bayesian methods, survival analysis, causal impact modeling, reinforcement learning concepts, or uncertainty quantification Experience estimating long-term business impact, investment ROI, subscriber growth, retention compounding, or customer lifetime value. Experience in Product Science, Applied Economics, Operations Research, Quantitative Research, Strategic Modeling, Decision Science, or related quantitative strategy functions Experience building strategic modeling systems that combine experimentation evidence, predictive ML, behavioral signals, and business outcomes.
AIML - Director, Data Science and Insights Apple IncAIML - Director, Data Science and InsightsCupertino, CARepresenting the team to executive leadership across AIML and SWE, including Senior Vice Presidents.10+ years of experience in data science and machine learning evaluation, including 6+ years leading large technical teams Advanced degree in a quantitative field such as Statistics, Computer Science, Machine Learning, or similar Demonstrated track record of running organizations of 50+ data scientists and/or machine learning engineers Deep experience in human evaluation methodology, logging, and AB testing for consumer-facing products at scale Hands-on experience building and deploying LLM-based autograders and rubrics, and using them to drive proactive improvements in models and agentic features Strong written and verbal communication skills, able to communicate effectively with engineers and senior leaders, including Senior Vice PresidentsExperience evaluating large consumer AI products such as conversational assistants, search systems, or agentic features Experience with logging infrastructure and instrumentation for AI product quality measurement Track record of growing senior leaders from within your organization and where needed recruiting senior data science and machine learning talent in competitive hiring markets Familiarity with evaluation frameworks for agentic systems and tool-use Strong written and verbal communication skills, able to communicate effectively with engineers and senior leaders, including Senior Vice Presidents. Successful candidates will have deep experience in traditional human evaluation methodology, logging, and A/B testing, in addition to hands-on experience building and deploying LLM-based autograders and rubrics, and using these tools to proactively drive improvements in models and agentic features.
PART Data Applications Engineer Apple IncPART Data Applications EngineerCupertino, CASuccess in this role requires someone who can quickly absorb complex financial processes, translate ambiguity into a technical roadmap, and deliver high-quality, user-friendly applications with minimal oversight - while raising the bar for the engineers and analysts around them. This is a role for an engineer who wants to operate independently end-to-end, help define what AI-native finance tooling looks like at Apple, and see their work used by key stakeholders across the organization.
Staff Data Platform Engineer, Unity Ads Unity Technologies SFStaff Data Platform Engineer, Unity AdsSan Francisco, CaliforniaWhile specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program. You will own and evolve critical data platform capabilities that enable high-throughput, reliable, and trusted data flows across Unity's advertising ecosystem, while also supporting common internal services used broadly across the company.
Senior Marketing Decision Scientist II Maplebear IncSenior Marketing Decision Scientist IICARemote$201,000–$212,000 / yearBuild and productionize predictive models (e.g., LTV, churn/propensity, audience response, budget allocation) using SQL and Python or R, partnering with data engineering to automate pipelines and ensure data quality. As a Senior Marketing Decision Scientist II, you will shape how we measure, forecast, and optimize marketing performance across channels, helping Instacart make smarter investment decisions and accelerate customer acquisition and retention.
Senior Software Engineer, ML Platform ParafinSenior Software Engineer, ML PlatformSan Francisco, California$220,000–$265,000 / yearThis role is critical to building reliable, scalable, and developer-friendly systems for model experimentation, training, evaluation, inference, and retraining that power underwriting and other ML-driven products for small businesses. As a Software Engineer, you’ll design, build, and maintain the core abstractions and platforms that let data scientists ship high-quality models to production—safely and quickly.
Sr. Engineering Manager, Mlops QuinceSr. Engineering Manager, MlopsPalo Alto, CA$270,000–$300,000 / yearYou have a deep understanding of the ML lifecycle-from model development and distributed training to automated deployment and real-time monitoring-and you are passionate about treating infrastructure as a product for your "customers": Quince's Data Scientists and AI Researchers. Define the MLOps Vision & Strategy: Architect a long-term roadmap that transitions ML workflows from manual scripts to a fully automated, self-service platform for all Quince Data Scientists and AI Researchers.
Forward Deployed Engineer Apple IncForward Deployed EngineerCupertino, CACommunicate status, trade-offs, and outcomes clearly to business partners, engineering teams, and leadership across the full lifecycle of every engagement.5+ years of experience in Forward Deployed Engineering, Solutions Architecture, full-stack product engineering, or a related highly technical, cross-functional role. Build prototypes, demos, and reference implementations on top of the platform that solve concrete Sales problems quickly, then distill the most valuable patterns into reusable abstractions that scale our speed and quality of delivery - partnering with Product and Engineering to graduate them into first-class platform features.
Director of Software Engineering - Data Platforms - #4919 Grail IncDirector of Software Engineering - Data Platforms - #4919Sunnyvale, CA$224,000–$321,000 / yearThe ideal candidate brings over 15 years of software engineering experience, combining deep technical expertise in big data, cloud infrastructure, and AI-driven workflows (including RAG and LLM applications) with a proven track record of scaling engineering teams (10+ headcount). We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine's greatest challenges.
Senior AI Engineer - SFL Scientific Deloitte Touche Tohmatsu LtdSenior AI Engineer - SFL ScientificSan Jose, CA$128,000–$252,500 / yearOur engineering team leverages emerging technologies and best practices across data security, documentation, cloud services and engineering architecture to create solutions and products that address complex issues and business problems faced by global organizations. Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on-prem technologies.
Data Architect - Palo Alto, CA (Hybrid) Georgia Tek SystemsData Architect - Palo Alto, CA (Hybrid)Palo Alto, CATask Management: Develop and maintain distributed task processing using Celery and ensure robust task queue management with Redis or RabbitMQ. Data Orchestration: Design, implement, and manage data workflows using Airflow to automate and orchestrate data processing tasks.
Senior Director, Research & User Intelligence, Customer and Developer Experiences Capital One Financial CorpSenior Director, Research & User Intelligence, Customer and Developer ExperiencesSan Francisco, CA$269,600–$307,700 / yearPeople and Talent Management: Lead and motivate a high performing team of professionals; provide people management leadership by hiring the best talent, setting goals, developing associates, managing employee performance and compensation decisions, promoting teamwork and handling performance management of the team. Cross Functional Partnership: Adept at establishing credibility with, as well as motivating and mentoring, designers, product managers, engineers, and business leaders with experience in engaging thoughtfully with the senior executive committee and working day to day with senior leaders.
NewDirector, Product Management - Enterprise AI/ML Capital One Financial CorpDirector, Product Management - Enterprise AI/MLSan Francisco, CA$209,500–$239,100 / yearAbout the Team: The Director of Product Management - Enterprise AI/ML will lead a product team spanning the Machine Learning and AI platforms at Capital One, and will be responsible for the capabilities that enable Capital One associates to train and serve Models and Generative/Agentic AI applications that power our business. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com.
Senior Machine Learning Engineer, Features (Adtech) CognitivSenior Machine Learning Engineer, Features (Adtech)San Mateo, CA$190,000–$250,000 / yearAdvanced Embeddings & Generative AI Integration: Leverage LLMs and deep learning models to extract rich contextual and user-level embeddings into the core feature store/serving system, optimizing embedding generation, indexing, and online retrieval for sub-millisecond serving SLAs. High-Performance Feature Engineering & Infrastructure: Architect, build, and maintain low-latency, high-throughput feature pipelines — batch, real-time streaming, and point-in-time correct historical features — to power our real-time bidding systems.
NewSenior Marketing Scientist, Level 4 SnapchatSenior Marketing Scientist, Level 4San Francisco, CA$157,000–$235,000 / year5+ years of post-Bachelor's advanced analytics and measurement experience; or Master's degree in a quantitative or business field + 4 years of post-graduate advanced analytics and measurement experience; or PhD in a relevant quantitative or business field + 1 year of post-graduate advanced analytics and measurement experience. We equip our Sales teams with what they need to be quantitatively driven, consultative partners to advertisers through training, tooling, and measurement best practices, and partner closely with Product, Engineering, Strategy, and Sales to ensure Snap's ad products are effective, efficient, and customer‑centric.
Staff, Software Engineer Walmart IncStaff, Software EngineerSunnyvale, CA$143,000–$286,000 / yearLeads project teams for engineering projects by providing direction regarding architecture and design; providing guidance regarding project issues or roadblocks; reviewing and approving proposed solutions; implementing new architectural patterns; and performing design and code reviews of changes; ensure stability and scalability of the platform Direct root cause analysis of business and production issues by reviewing and analyzing information (for example, issue, impact, criticality, possible root cause); interpreting the results to determine further action; directing root cause analysis to prevent future occurrence of issues. What you'll do: Leads the design phase of large software engineering projects by collaborating with cross-functional teams to determine project strategy; interpreting strategy into sustainable architecture and solutions; identifying short- and long-term solutions and timelines; driving prototype development to ensure concept is feasible.