Research Engineer I / II- Theodoris Lab The J David Gladstone InstitutesResearch Engineer I / II- Theodoris LabSan Francisco, California$61,326–$71,185 / yearThe laboratory of Christina Theodoris, MD, PhD, is seeking a highly motivated AI research engineer with a strong background in computer science and machine learning to join her research program in the Gladstone Institute of Cardiovascular Disease and Gladstone Institute of Data Science and Biotechnology. A meaningful place to grow and learn –whether it’s your professional skills or scientific knowledge, we have the resources and environment to advance either so you can better support Gladstone’s mission to drive a new era of discovery in disease-oriented science and to mentor tomorrow’s leaders in an inspiring and excellent environment.
Sr. Staff ML Engineer, Model Pre-training, Autonomy RivianSr. Staff ML Engineer, Model Pre-training, AutonomyPalo Alto, California$265,000–$331,000 / yearFull timeRivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services.
Devops Engineer EncordDevops EngineerSan Francisco, CAObservability Instrument services with distributed tracing, logging, and metrics (Prometheus, Grafana, OpenTelemetry, GCP Dashboards or similar); build infrastructure, define best practices, and work with each squad to ensure every service is observable before it goes to production. CI/CD & Deployment Own and continuously improve deployment pipelines; partner closely with developers to review infrastructure changes, streamline release processes, and champion DevOps best practices across the engineering group.
ML Scientist I/II, Nucleic Acid Design Lila SciencesML Scientist I/II, Nucleic Acid DesignSan Francisco, California$176,000–$304,000 / yearYou’ll collaborate with experimental scientists, ML researchers, and platform teams to build models that connect nucleic acid sequence design to biological function and make these capabilities usable across Lila’s autonomous science platform. 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.
Research Scientist SesameResearch ScientistSan Francisco, CaliforniaOur team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. As a Machine Learning Scientist at Sesame, you are a research-oriented person with experience in NLP, Speech, and/or Computer Vision with a focus on deep learning.
Director, AI Engineering EquinixDirector, AI EngineeringRedwood City, CaliforniaThe targeted pay range for this position in the following location is / locations are: United States - Redwood City Office GHQ: 269,000 - 403,000 USD / Annual. The role combines deep technical leadership, organizational scale, and strong business alignment to translate AI innovation into measurable impact.
Software Engineer OSAROSoftware EngineerSan Francisco, CAMore About OSARO OSARO delivers best-in-class robotic piece-picking solutions for e-commerce where key challenges include high SKU inventories, complex packaging, and fragile items. In this role, you will collaborate closely with teams across Hardware, Infrastructure, and Machine Learning to integrate robust, production-grade solutions into our customers’ complex software environments.
Director, Product Marketing - Data & ML GuidewireDirector, Product Marketing - Data & MLSan Mateo, CaliforniaWorking fluently with the modern data stack across data lakes and lakehouses, warehousing, ETL and ELT pipelines, data modeling, and the architecture choices behind batch and real-time data, enough to explain why those choices matter to a buyer. Solid grasp of the machine learning lifecycle, including MLOps concepts such as model training, deployment, and ongoing monitoring, plus governance topics like explainability and bias that carry regulatory weight in insurance.
Data Scientist, Growth Product Chime Capital, LLCData Scientist, Growth ProductSan Francisco, CARemoteIn this role, you will work closely with product managers, design, engineers, product & lifecycle marketing, and operational stakeholders to foster a data-driven product development culture, advise our product roadmaps, and build a deep understanding of member behavior. We're looking for a Growth Product Scientist to partner with our Growth Product and Engineering teams to drive measurable impact across the member journey - from acquisition to conversion through long-term retention.
Machine Learning Research Scientist SentraMachine Learning Research ScientistSan Francisco, California5+ years building novel systems in machine learning, NLP, knowledge graphs, or related areas with evidence through publications, production implementations, or significant open-source contributions. You will design and implement systems that maintain execution state for entire organizations, consolidate millions of micro-events into durable knowledge, and learn patterns that predict events before it happens.
Research Engineer, Machine Learning (Reinforcement Learning) AnthropicResearch Engineer, Machine Learning (Reinforcement Learning)San Francisco, CAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Member Of Research Staff, Reinforcement Learning, Voleon Securities VOLEONMember Of Research Staff, Reinforcement Learning, Voleon SecuritiesBerkeley, CAYour research colleagues across Voleon have collectively published hundreds of academic articles in top-tier venues on machine learning, systems, and theory, and we meet regularly to stay current on the latest academic research and share ideas. For nearly two decades, our affiliate Voleon Capital Management has led the hedge fund industry and worked at the frontier of applying AI/ML to investment management, becoming a multibillion-dollar asset manager.
Staff Software Engineer - Machine Learning HivemapperStaff Software Engineer - Machine LearningSan Francisco, CaliforniaToday, different data API products allow transparent and programmatic access for anyone to consume high-resolution imagery and sensor data, precisely extracted Map Features (speed signs, turn restrictions, highway signs, etc.). At Hivemapper, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways.
Staff Machine Learning Infrastructure Engineer ATOMSStaff Machine Learning Infrastructure EngineerSan Francisco, California$224,000–$280,000 / yearYou will own the challenge of scaling distributed GPU workloads to support a high volume of concurrent training runs across an expanding vehicle fleet, building a platform that can flexibly run on whatever GPU capacity is available, regardless of provider or environment, directly accelerating innovation across the platform. Distributed Computing & Orchestration: Leverage distributed compute frameworks to efficiently manage and execute a high volume of complex ML training jobs concurrently across large GPU clusters.
Senior Machine Learning Engineer, Vehicle Perception Woven Planet Holdings CoSenior Machine Learning Engineer, Vehicle PerceptionPalo Alto, CA$140,000–$230,000 / yearOur work involves a variety of challenges, such as analyzing petabytes of multimodal driving data, solving optimization problems in computer vision, minimizing latency on hardware accelerators, deploying scalable and efficient machine learning (ML) training and evaluation pipelines, and designing novel neural network architectures to advance state-of-the-art ML for onboard perception. 3+ years of experience covering machine learning workflows, data sampling and curation, pre-processing, model training, ablation studies, evaluation, deployment, and inference optimization.
Senior Quant, Artificial Intelligence/Machine Learning US BankSenior Quant, Artificial Intelligence/Machine LearningSan Francisco, CA$133,365–$156,900 / yearHands-on experience with modern AI development, deployment, and evaluation ecosystems, including PyTorch, TensorFlow/Keras, Hugging Face Transformers, LangChain, LangGraph, OpenAI Agent SDK, AI-assisted development platforms such as Claude Code and GitHub Copilot, and LLM evaluation frameworks including DeepEval, LlamaIndex, Ragas, and other comparable tools. Strong expertise in building, deploying, and evaluating GenAI and Agentic AI solutions, including RAG, multi-agent systems, tool-augmented workflows, and advanced evaluation techniques such as adversarial testing, semantic similarity analysis, retrieval assessment, and LLM-as-a-Judge methodologies.
Staff Machine Learning Engineer, AI SentryStaff Machine Learning Engineer, AISan Francisco, CaliforniaA successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage).
Machine Learning Infrastructure Engineer Character AIMachine Learning Infrastructure EngineerRedwood City, CAIn just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year-a testament to our innovative technology and visionary approach. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures.
Member of Technical Staff, Machine Learning SieveMember of Technical Staff, Machine LearningSan Francisco, CaliforniaAs a Machine Learning Engineer at Sieve, you'll own the entire ML lifecycle — from understanding customer problems, to designing datasets, improving models, building evaluation systems, and shipping production pipelines that deliver measurable improvements in dataset quality. We're looking for engineers who enjoy owning problems end-to-end, from understanding customer requirements through shipping production ML systems that measurably improve dataset quality.
Software Engineer, Machine Learning MercorSoftware Engineer, Machine LearningSan Francisco, CaliforniaYou will work on problems shaped by real marketplace constraints: sparse and delayed labels, cold start, noisy feedback, heterogeneous supply and demand, and the need to optimize across speed, quality, and conversion simultaneously. Mercor 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.