Senior Software Engineer - Generative AI C3 AISenior Software Engineer - Generative AIRedwood City, CAC3 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. We are looking for a seasoned software engineer experienced in the field of machine learning and artificial intelligence, and passionate about Generative AI technology and building next-generation software platforms.
Senior AI Engineer H2O.aiSenior AI EngineerSan Francisco, CABuild 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.
Senior Director, Applied Research Discover Financial ServicesSenior Director, Applied ResearchSan Francisco, CA$318,100–$363,100 / yearPhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research. Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money.
AI Technology Consultant - Remote SoftServeAI Technology Consultant - RemoteSan Francisco, CARemote$150,000–$220,000 / yearLead discovery and design enterprise AI architectures that translate business needs into scalable solutions, owning end‐to‐end outcomes that drive measurable value while collaborating closely with business stakeholders, data scientists, and engineering teams. Design and oversee implementation of ML pipelines, GenAI/LLM systems (RAG, agents), and data platforms, ensuring solutions improve performance, reliability, and scalability in collaboration with cross-functional delivery teams.
Software Engineer MicrosoftSoftware EngineerMountain View, CA$102,100–$202,200 / yearThere is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $133,800 - $219,200 per year. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.
Manager, Enterprise Information Mgmt Platform Admin Stamford American International HospitalManager, Enterprise Information Mgmt Platform AdminPalo Alto, CA$83.98–$111.27 / hourManage, in a highly automated manner, the infrastructure of SHCs Enterprise Information Management (EIM) platform (currently DataBricks on Azure in a mesh architecture with GCP and AWS environments) including SecOps, DevOps, FinOps, orchestration, etc. Data Pipelines/Ingestion: Design and implement scalable and efficient data pipelines for various data types (structured, semi-structured, and unstructured) from various sources, including databases, APIs, and third-party services.
Data Scientist/Senior Data Scientist C3 AIData Scientist/Senior Data ScientistRedwood City, CaliforniaFull timeC3 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. You will work directly with data scientists, AI engineers, and subject matter experts to design and deploy AI capabilities that give our customers the information they need to make better decisions and accelerate their digital transformation.
NewData Scientist / Senior Data Scientist DoorDash USAData Scientist / Senior Data ScientistSan Francisco, CA; SeattleWe value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers.
Data Scientist/Senior Data Scientist C3.ai IncData Scientist/Senior Data ScientistRedwood City, CA$136,000–$183,000 / 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. You will work directly with data scientists, AI engineers, and subject matter experts to design and deploy AI capabilities that give our customers the information they need to make better decisions and accelerate their digital transformation.
Data Scientist / Senior Data Scientist Berkshire Hathaway Specialty Insurance CoData Scientist / Senior Data ScientistSan Ramon, CAIn addition, you will conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities. Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data.
Data Scientist / Senior Data Scientist (Risk Modeling) Berkshire Hathaway Specialty Insurance CoData Scientist / Senior Data Scientist (Risk Modeling)San Ramon, CAIn addition, you will conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities. You will work across functional areas and perils within the team, supporting the development of models for various natural catastrophes, natural hazards, building vulnerability, and man-made risks such as cyber, casualty, among others.
Data Scientist/Senior Data Scientist C3 AI Inc.Data Scientist/Senior Data ScientistRedwood City, CA$136,000–$183,000 / 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. You will work directly with data scientists, AI engineers, and subject matter experts to design and deploy AI capabilities that give our customers the information they need to make better decisions and accelerate their digital transformation.
Member of Data Staff (Data Scientist) PerplexityMember of Data Staff (Data Scientist)San Francisco, CaliforniaMetrics and dashboard experience - you've built useful reporting in tools such as Omni, Mode, Hex, Looker, or similar, and know how to turn metrics into better product decisions. You'll work across product, engineering, growth, design, and user research to understand user behavior, define metrics, design experiments, and identify the highest-leverage opportunities for the company.
Data Scientist / AI Scientist – AI for Aging Research – Zhou lab Buck InstituteData Scientist / AI Scientist – AI for Aging Research – Zhou labNovato, CAFull timeThis individual will help develop new computational methods, analyze complex imaging datasets, and work closely with experimental and computational researchers to generate insights from large-scale biological data. Prior experience in biological or biomedical imaging is helpful but not required for candidates with strong technical expertise and a genuine interest in applying frontier AI methods to major biological questions.
Lead Data Scientist, Data Products StravaLead Data Scientist, Data ProductsSan Francisco, CaliforniaWe are looking for a Data Scientist to join the Data Products team at Strava, a team at the core of Strava’s AI strategy, responsible for turning Strava's unique community and activity data into reliable, reusable, enriched datasets powering user experiences at scale. Own experimentation and monitoring for production models and contribute to monitoring of key metrics and drift detection for enriched datasets, ensuring quality for downstream athlete-facing experiences.
Data Scientist / AI Scientist - AI for Aging Research - Zhou lab Buck Institute for Research on AgingData Scientist / AI Scientist - AI for Aging Research - Zhou labNovato, CA$80,000–$130,000 / yearThis individual will help develop new computational methods, analyze complex imaging datasets, and work closely with experimental and computational researchers to generate insights from large-scale biological data. Prior experience in biological or biomedical imaging is helpful but not required for candidates with strong technical expertise and a genuine interest in applying frontier AI methods to major biological questions.
Data Scientist II - Big Data R&D, Identity Graph & Deceased Monitoring SocureData Scientist II - Big Data R&D, Identity Graph & Deceased MonitoringSan Francisco, CaliforniaIn this role, you will help develop graph-based algorithms and data pipelines on massive PII datasets, support modelers with high-quality features, and evaluate new data sources that feed our identity and fraud products. Communicate findings in a clear, structured way to peers and cross‑functional partners (Product, Engineering, Client Analysis), focusing on key insights and trade‑offs.
Senior Data Scientist, GTM Data Science ADOBE IncSenior Data Scientist, GTM Data ScienceSan Francisco, CA$163,200–$236,400 / yearCommunicate insights clearly to senior leaders, turning complex analysis into simple, decision-ready narratives Elevate the team's technical bar by contributing to shared code libraries, peer-reviewing complex analyses, and partnering with Data Engineering to optimize our data architecture for high-velocity analytics. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Member Of Data Staff (Data Scientist) Perplexity AIMember Of Data Staff (Data Scientist)San Francisco, CAMetrics and dashboard experience - you've built useful reporting in tools such as Omni, Mode, Hex, Looker, or similar, and know how to turn metrics into better product decisions. You'll work across product, engineering, growth, design, and user research to understand user behavior, define metrics, design experiments, and identify the highest-leverage opportunities for the company.
Staff Research Data Scientist, AI Data Intelligence Google LLCStaff Research Data Scientist, AI Data IntelligenceMountain View, CAPreferred qualifications: 10 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of experience with a PhD degree. 8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of experience with a PhD degree.