Machine Learning Research Engineer, Model Evaluation WindBorne SystemsMachine Learning Research Engineer, Model EvaluationPalo Alto, CaliforniaWindBorne Systems is supercharging weather forecasts with a proprietary data source: a global constellation of next-generation smart weather balloons targeting critical atmospheric data. Evaluation strategy — Work with our Meteorology team to develop a rigorous, meteorologically valid strategy for comparing WeatherMesh with leading AI and physics-based models.
Engineering Manager - Model Performance BasetenEngineering Manager - Model PerformanceSan Francisco, CaliforniaBy uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. Drive the development and deployment of large-scale optimization techniques for various ML models, especially large language models (LLMs).
VP, Bioassays, Cell Models, And Genomic Screening InsitroVP, Bioassays, Cell Models, And Genomic ScreeningSouth San Francisco, CA$290,000–$326,000 / yearLead innovation: Provide strategic, technical, and operational leadership in the development, validation, and implementation of disease-relevant cell models, genomic screening (phenotypic pooled optical screening and arrayed screening), and supporting assay development for drug discovery. In this leadership role, your primary responsibilities will be to: Drive insitro's discovery engine: Set the strategic vision for cell models, image based and genomic screens, as well as bioassay development and execution across all therapeutic areas, fueling our target and drug discovery ML engine.
Software Engineer - Model Performance BasetenSoftware Engineer - Model PerformanceSan Francisco, CaliforniaBy uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. Implement, refine, and productionize cutting-edge techniques (quantization, speculative decoding, kv cache reuse, chunked prefill and LoRA) for ML model inference and infrastructure.
Hunyuan AIGC Algorithm Researcher (World Model Foundation Direction) TencentHunyuan AIGC Algorithm Researcher (World Model Foundation Direction)Palo Alto, CaliforniaAs the operator of the largest networking, devices, and data center in Asia,TEG also leads the Tencent Technology Committee in strengthening infrastructure R&D through internal and distributed open source collaboration, constructing new platforms and supporting business innovation. Technology Engineering Group (TEG) is responsible for supporting the company and its business groups on technology and operational platforms, as well as the construction and operation of R&D management and data centers, TEG provides users with a full range of customer services.
Data selection and quality evaluation for biological foundation models InceptiveData selection and quality evaluation for biological foundation modelsPalo Alto, CaliforniaOur team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming antedisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields. We approach our goals with a Beginner's mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations.
Engineering Manager, Foundation Model Inference (Fmapi) DataBricksEngineering Manager, Foundation Model Inference (Fmapi)San Francisco, CA$190,000–$261,250 / yearMore 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. Strong technical judgment in distributed systems, platform infrastructure, AI/ML infrastructure, or large-scale backend services, with the ability to maintain quality even in areas you have not worked on personally.
Staff Software Engineer- Foundation Model Inference DataBricksStaff Software Engineer- Foundation Model InferenceSan Francisco, CA$190,000–$265,000 / yearThe impact you will have: Build LLM infrastructure powering large-scale inference workloads for customers through partner models (OpenAI, Anthropic, Gemini) and self-hosted models (Qwen, GPT-OSS, Llama). 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.
Engineering Manager, AI Models Infrastructure IntercomEngineering Manager, AI Models InfrastructureDublin, CAFounded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Fin can also be combined with our Helpdesk to become a complete solution called the Fin Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.
Staff Software Engineer, Foundational Model Serving DataBricksStaff Software Engineer, Foundational Model ServingSan Francisco, CA$192,000–$260,000 / yearWe're looking for engineers who have owned high scale operational sensitive systems like customer facing APIs, Edge Gateways, ML Inference, or similar services and have an interest in getting deep building LLM APIs and runtimes at scale. 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.
Program Officer, AI Model Safety Open rolesProgram Officer, AI Model SafetySan Francisco, CaliforniaBy AI model safety we mean the technical work of understanding and improving how models behave (testing and evaluating them independently, red-teaming them, researching how to interpret, align, and control them) so that increasingly capable systems can be trusted with increasingly consequential tasks. Proactively identify the most important projects and organizations that need to exist, and make them happen: scope priority projects, find or develop the right founders, and actively build new initiatives, seeding them if required.
ML Engineer, Foundation Models Humble RoboticsML Engineer, Foundation ModelsSan Francisco, CaliforniaWe’re building an autonomous, zero-emissions hauler that dramatically lowers the cost of freight with groundbreaking vision-based AI, designed for today’s global logistics network. Translate state-of-the-art research (diffusion/flow-matching action heads, reasoning-augmented VLAs, world models) into production-grade systems.
Research Engineer - Model Architectures ZyphraResearch Engineer - Model ArchitecturesSan Francisco, CaliforniaWe strongly value new and crazy ideas and are very willing to bet big on new ideas. Generally, a joy in inventing and seriously assessing ‘crazy’ ideas, and the ability to have a unique perspective on things.
Deals Services - Manager, Strategic Finance And Fp&A, Advanced Decision Modeling RSMDeals Services - Manager, Strategic Finance And Fp&A, Advanced Decision ModelingSan Francisco, CA$112,100–$225,500 / yearThe salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. Develops and reviews complex, fully integrated financial models, including operating, cash flow, valuation, and transaction models, to support strategic decision-making.
Senior / Principal ML Scientist, Foundation Models for Life Sciences Lila SciencesSenior / Principal ML Scientist, Foundation Models for Life SciencesSan Francisco, CaliforniaYou will shape the technical direction for how ML models are trained, evaluated, and deployed at scale, collaborate closely with AI scientists and experimental researchers to close the computational–experimental loop, and drive Lila's ML infrastructure toward the next generation of capabilities. 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.
Full Stack Engineer, Scientific AI Models BenchlingFull Stack Engineer, Scientific AI ModelsSan Francisco, CaliforniaAlphaFold or Boltz2) predict structures, predict scientific properties, and generate new drug designs, acting as a design partner and a major time saver to scientists who are creating life-saving therapeutics. Projects you might work on include: adding new models as soon as they're published, improving model performance and scalability, and enabling scientists to automate their in-silico workflows by chaining models together into pipelines.
Software Engineer, Models MeterSoftware Engineer, ModelsSan Francisco, CaliforniaIn addition to your customers, network engineers, you’ll partner closely with two research engineers who have deep ML backgrounds and a clear picture of what training data needs to look like. When a network engineer looks at a set of device stats and figures out it’s upstream packet loss — not a hardware failure, not a misconfiguration, specifically upstream packet loss — that reasoning lives in their head.
NewSoftware Engineer, Model Runtime OpenAISoftware Engineer, Model RuntimeSan Francisco, CaliforniaFor 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. You will work across model architecture, distributed systems, compilers, kernels, and silicon to design a production-grade runtime comparable in ambition to systems such as vLLM and SGLang, but customized and optimized for OpenAI’s AI accelerator.
Research Engineer / Research Scientist - Personal AGI, Personality and Model Behavior OpenAIResearch Engineer / Research Scientist - Personal AGI, Personality and Model BehaviorSan Francisco, CaliforniaFor 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 individuals with strong ML engineering skills and research experience, especially with novel and highly capable models, and in areas like reinforcement learning and reward modeling.
ML Research Scientist, Foundation Models (Senior / Staff / Principal) Genesis TherapeuticsML Research Scientist, Foundation Models (Senior / Staff / Principal)San Mateo, CAOur generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the breakthrough generative diffusion model Pearl for structure prediction. Genesis has also signed category-leading AI-pharma deals, the most recent of which was a significant expansion with Incyte (see coverage in Forbes and GEN) with a total potential deal value of several billion dollars.