Senior Azure/Entra ID Engineer Velvet Ledger WorkforceSenior Azure/Entra ID EngineerSan Francisco, California8-10 years of hands-on experience building, configuring, and troubleshooting Azure/Entra ID identity security components including Conditional Access, Identity Protection, MFA, PIM, and device compliance integrations; translating IAM architecture designs into production-ready configurations; resolving advanced identity and access management issues in enterprise environments. 8+ years of practical experience applying ML models and services within Azure cloud; Identity and Access Management (IAM) tools: Proficient use of identity security components and automation scripting (e.g., PowerShell) for production-ready configurations and issue resolution.
Founding AI Engineer Recruiting From ScratchFounding AI EngineerSan Francisco, CaliforniaThis company is dedicated to transforming the way insurance professionals operate by leveraging cutting-edge machine learning solutions. Collaborate with a team of engineers to design scalable software solutions that meet industry needs.
Staff Software Engineer - Data Platform Pantheon Systems, IncStaff Software Engineer - Data PlatformSan Francisco, CA$166,700–$232,000 / yearServe as the lead technical member of the Data Platform team, maintaining and enhancing our core platform services: Ingest as a Service (consistent extraction and loading into the data lake), Curation as a Service (configuration-driven, audited transformations) and Retention as a Service (historical data hosting that balances access, compliance, and cost). As the lead technical member of the Data Platform team, you'll architect the next generation of services that let every team at Pantheon trust and act on data, working closely with Software Engineers, Data Engineers, Analytic Engineers and Product.
Embedded Software Engineer - Real-Time Linux Maven RoboticsEmbedded Software Engineer - Real-Time LinuxSan Francisco, CaliforniaThis is a critical role for developing high-performance, GPU-accelerated compute platforms tailored to robotics and machine learning workloads. Self-starter attitude with strong ability to identify problems, prioritize them, then plan and execute working solutions.
Senior Data Scientist - Identity LiveRampSenior Data Scientist - IdentitySan Francisco, CaliforniaHundreds of global innovators, from iconic consumer brands and tech giants to banks, retailers, and healthcare leaders turn to LiveRamp to build enduring brand and business value by deepening customer engagement and loyalty, activating new partnerships, and maximizing the value of their first-party data while staying on the forefront of rapidly evolving compliance and privacy requirements. LiveRamp offers complete flexibility to collaborate wherever data lives to support the widest range of data collaboration use cases—within organizations, between brands, and across its premier global network of top-quality partners.
ML Engineer: Speech & LLMs KnowtexML Engineer: Speech & LLMsSan Francisco, CaliforniaWe are looking for researchers with deep expertise in one of two areas: Speech & Audio: Build state-of-the-art medical speech-to-text systems using our large proprietary dataset of real-world clinical audio, with the goal of bringing more of our speech stack in-house. You will design experiments, build datasets and evaluation systems, train and fine-tune models, and work closely with engineering and clinical teams to deploy successful approaches at scale.
Data Scientist Imran YousufData ScientistSan Francisco, CaliforniaOur team members have backgrounds that include running Amazon's European supply chain, building JustEat's corporate meal delivery platform, and monitoring industrial emissions with satellites for Al Gore. If you are a curious and commercially-minded Data Scientist with a passion for environmental issues, and you enjoy collaborating with others to solve real-world challenges, we encourage you to apply for this exciting opportunity.
Senior Data Recruiter FaireSenior Data RecruiterSan Francisco, CA$148,000–$203,500 / year5+ years of full-cycle recruiting experience, with at least 3 years focused on senior technical hiring across data and/or engineering disciplines (machine learning, data science, software engineering, or related fields). We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global.
Senior Health Informatics / Data Scientist Inizio Partners CorpSenior Health Informatics / Data ScientistSan Francisco, CaliforniaRemoteThe ideal candidate will have experience working with healthcare claims and population health datasets , building predictive models that support patient risk identification and care management strategies. This is a hands-on role focused on developing data science models using Python to support risk stratification and risk tier migration initiatives within the U.S. healthcare ecosystem .
Staff Software Engineer - Customer Engagement & Docs Platform DataBricksStaff Software Engineer - Customer Engagement & Docs PlatformSan Francisco, CA$190,000–$260,000 / yearResponsibilities include gaining a deep understanding of user behavior; identifying factors contributing to problems; leveraging Product, Machine Learning (ML) and Large Language Models (LLMs) to analyze intricate technical use cases within a secure enterprise environment and eventually providing a path to resolving them. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.
AI Research Scientist CollateAI Research ScientistSan Francisco, California$188,000–$215,000 / yearThe base salary range for this role is depending on experience and level (Tier 1, San Francisco) Research Scientist: $188-215K; Senior Research Scientist: $188-275K; Staff Research Scientist: $228-310K; Principal Research Scientist: $275-350K. You’ll explore new modeling approaches, design novel architectures, and prototype capabilities that don’t exist yet — always with an eye toward how they can be translated into safe, reliable, and impactful products.
Research Engineer OpenAIResearch EngineerSan Francisco, CAFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. We're looking for people with solid engineering skills (for example designing, implementing, and improving a massive-scale distributed machine learning system), writing bug-free machine learning code, and building the science behind the algorithms employed.
NewProduct Engineer, Full Stack David AIProduct Engineer, Full StackSan Francisco, CaliforniaAs a Full Stack Engineer at David AI, you'll build cutting-edge tools that help our users make sense of the audio data they'll use to train their models, working closely with researchers to consistently iterate on how to best collect our data. Stay up-to-date with cutting edge technologies and frameworks to apply to our current product offering across software engineering, data engineering, machine learning, and signal processing.
Product Engineer, Backend David AIProduct Engineer, BackendSan Francisco, CaliforniaAs a Backend Engineer at David AI, you'll build the systems and infrastructure that power how our users process and make sense of the audio data they'll use to train their models, working closely with researchers to consistently iterate on how to best collect our data. Stay up-to-date with cutting edge technologies and frameworks to apply to our current product offering across backend engineering, data engineering, machine learning, and signal processing.
Research Engineer GammaResearch EngineerSan Francisco, CaliforniaYou'll succeed here if you combine deep expertise in VLMs and multimodal modeling with a research mindset, comfort working in ambiguity, and a rigorous eye for visual and design quality. Design evaluation frameworks and benchmarks for visual communication quality, covering layout, typographic structure, color, and information density, the dimensions generic text evals miss.
Senior / Staff Software Engineer, ML Datasets & Data Pipelines WaabiSenior / Staff Software Engineer, ML Datasets & Data PipelinesSan Francisco, CA$148,000–$260,000 / yearWith offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. - Design and implement data pipelines using real-world driving data and Waabi World (our high-fidelity simulator) to train and evaluate deep learning models.
Member of Technical Staff, Developer Relations InferactMember of Technical Staff, Developer RelationsSan Francisco, California$200,000–$400,000 / yearYou'll write technical deep dives, build demos, create tutorials, contribute to docs and examples, host workshops, and help developers understand topics like KV cache, continuous batching, prefix caching, prefill and decode, quantization, GPU serving, latency versus throughput, and model-server tradeoffs across vLLM and adjacent systems. We're looking for a inference systems educator-builder: someone who can understand vLLM as a deep LLM inference systems project, teach hard technical concepts clearly, and create public artifacts that help practitioners build better systems.
Senior Data Scientist, Marketing and Personalization Fanatics CommerceSenior Data Scientist, Marketing and PersonalizationRedwood City, California$170,000–$210,000 / yearFanatics Commerce has a broad range of online, sports venue, and vertical apparel partnerships worldwide, including comprehensive partnerships with leading leagues, teams, colleges, and sports organizations across the world—including the NFL, NBA, MLB, NHL, MLS, Formula 1, and Australian Football League (AFL); the Dallas Cowboys, Golden State Warriors, Paris Saint-Germain, Chelsea FC, and Tokyo Giants; the University of Notre Dame, University of Alabama, and University of Texas; the International Olympic Committee (IOC), England Rugby, and the Union of European Football Associations (UEFA). Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores.
Senior Software Engineer, Trust And Safety Engineering BoxSenior Software Engineer, Trust And Safety EngineeringRedwood City, CA$211,000–$255,000 / yearWork in this area spans a wide range of disciplines, including building and operating containerized microservices in a Kubernetes-based environment, developing behavioral detection systems and machine learning models to identify suspicious activity, tuning rate limiters and other mitigation controls across the Box stack, and delivering product security features that proactively reduce risk. Preferred qualifications include experience with machine learning models, large-scale datasets, Java Spring/Spring Boot, Terraform-based public cloud infrastructure, and trust and safety, abuse, or fraud mitigation systems.
Senior Software Engineer, Trust and Safety Engineering BoxSenior Software Engineer, Trust and Safety EngineeringRedwood City, CA$211,000–$255,000 / yearWork in this area spans a wide range of disciplines, including building and operating containerized microservices in a Kubernetes-based environment, developing behavioral detection systems and machine learning models to identify suspicious activity, tuning rate limiters and other mitigation controls across the Box stack, and delivering product security features that proactively reduce risk. Preferred qualifications include experience with machine learning models, large-scale datasets, Java Spring/Spring Boot, Terraform-based public cloud infrastructure, and trust and safety, abuse, or fraud mitigation systems.