NewSenior Software ML Engineer, AI/ML GenAI, Gemini Enterprise Google LLCSenior Software ML Engineer, AI/ML GenAI, Gemini EnterpriseSunnyvale, CA2 years of experience with core Generative Artificial Intelligence (GenAI) technologies (e.g., Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agents) or model training/post-training. Design and implement Generative Artificial Intelligence (GenAI) solutions, leverage Machine Learning (ML) infrastructure, and evaluate tradeoffs between different techniques and their application domains.
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.
Principal Research Engineer, Post-Training Character AIPrincipal Research Engineer, Post-TrainingRedwood City, CATechnical Leadership & Mentorship: Define and drive the technical roadmap for mid- and post-training systems, balancing research innovation with production reliability and scalability. You will partner closely with researchers, engineers, product teams, and infrastructure teams to identify the highest-leverage opportunities for improving model performance and user experience.
Research Scientist - Vision Foundation Models Epsilon LabsResearch Scientist - Vision Foundation ModelsSan Francisco, CaliforniaDrive research and technical excellence through conference publications and technical blog posts, establishing best practices for training robust medical imaging models at scale. This role focuses on pretraining and scaling vision encoders for radiology diagnosis across X-ray, CT, and MRI, with a growing emphasis on 3D volumetric modeling.
Founding ML Engineer accelos.comFounding ML EngineerSan MateoPuneet Saraswat (CDO) : As one of the first engineers and later VP Eng at Harness, he led the creation of numerous products and led teams for Internal Developer Portal, Cloud Development Environments, Security Test Orchestration, Core Platform, and Developer Productivity. Sid Choudhury (CEO) : As SVP & GM at Harness, Sid ran the core platform that powers the flagship CI/CD, Cloud Cost Management, and Feature Flags products and built the Developer Experience and Application Security business units from the ground up.
Senior Data Engineer Toyota Research InstituteSenior Data EngineerLos Altos, CA$180,000–$258,750 / yearThis includes large-scale ingestion pipelines, structured feature stores, labeling infrastructure, scene search and data discovery tools, and performance diagnostics for machine learning and simulation workflows. The Automated Driving Advanced Development division at TRI will focus on enabling innovation and transformation at Toyota by building a bridge between TRI research and Toyota products, services, and needs.
Machine Learning Engineer, Level 5 SnapMachine Learning Engineer, Level 5Palo Alto, California$209,000–$313,000 / year5+ years of post-Bachelor’s machine learning experience; or Master’s degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 1 years of post-grad machine learning experience. The Company operates Snapchat , a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc. , a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji , Saturn, and other digital services.
Member of Technical Staff - Machine Learning Capabilities, New Graduates Preference ModelMember of Technical Staff - Machine Learning Capabilities, New GraduatesSan Francisco, CaliforniaYour work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers and engineers. We’re hiring new graduate Machine Learning Engineers to design and build reinforcement learning environments to safely advance model capabilities in machine learning research and engineering.
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.
Sr Technical Recruiter Blue River Technology Inc.Sr Technical RecruiterSanta Clara, CAAs a full-lifecycle Sr Technical Recruiter, you'll be the architect of our hiring pipeline, working hand-in-hand with the Director of TA and hiring managers to attract, engage, and land top-tier engineering and technical talent. Blue River Technology aligns with John Deere's vision to "innovate on behalf of humanity" by quickly identifying and solving high-value, high-uncertainty challenges in AI, machine learning, computer vision, and robotics.
Machine Learning Engineer RADARMachine Learning EngineerSunnyvale, CA$195,000–$264,000 / yearResponsibilities: Build and scale ML infrastructure: Design and maintain scalable, reliable and efficient production pipelines for feature engineering, training, prediction and model serving using tools including Airflow, Big Query and Kubeflow. Drive model performance: Train, validate and deploy high-quality ML models, applying advanced techniques in feature selection, hyperparameter tuning and model architecture choices to improve the accuracy of our products.
Technical Project Manager - AI/ML Programs Cardinal Integrated Technologies IncTechnical Project Manager - AI/ML ProgramsSanta Clara, CAThe candidate will lead end-to-end delivery of AI/ML initiatives, partnering with business stakeholders, data scientists, ML engineers, architects, and global delivery teams to drive innovation and measurable business outcomes. A seasoned TPM who can bridge business strategy, semiconductor domain expertise, and AI/ML technology, while successfully leading global teams and delivering enterprise-scale AI transformation programs for Applied Materials.
Research Scientist - Frontier AI/ML & Quantum Algorithms Sygaldry TechnologiesResearch Scientist - Frontier AI/ML & Quantum AlgorithmsSan Francisco, CaliforniaDevelop and study models for high-dimensional scientific prediction, generation, and design, including: Diffusion models, flow matching, consistency models, score-based generative models, energy-based models, latent-variable models, autoregressive models, and normalizing flows. Have deep expertise in at least two of the following: generative modeling, probabilistic inference, uncertainty quantification, geometric deep learning, graph neural networks, optimization, reinforcement learning/control, numerical methods, scientific machine learning, quantum algorithms, or quantum information.
Senior Research Scientist, Google Research GoogleSenior Research Scientist, Google ResearchMountain View, CAFrom creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Founding Machine Learning Engineer ShepherdFounding Machine Learning EngineerSan Francisco, California4+ years of industry experience building and shipping ML systems end-to-end, from raw data to production models, including experience with model deployment platforms (e.g., AWS Sagemaker). We're building the risk infrastructure for the next generation of financial services, where technology, underwriting, and partnerships operate in harmony to support the world's most important industries and the progress they make possible.
AI Cybersecurity Team Lead, DeepMind GoogleAI Cybersecurity Team Lead, DeepMindMountain View, CAFrom creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Sr. Data Science, Ops Decision Systems RivianSr. Data Science, Ops Decision SystemsPalo Alto, California$146,900–$183,600 / 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.
Artificial Intelligence (AI) Cybersecurity Scientist (Ph.D.) Exponent Inc.Artificial Intelligence (AI) Cybersecurity Scientist (Ph.D.)Menlo Park, California$140,000–$154,000 / yearFull timeApplying cybersecurity and AI risk management frameworks such as the NIST Cybersecurity Framework, NIST AI Risk Management Framework, MITRE ATT&CK, MITRE ATLAS, ISA/IEC 62443, and relevant sector-specific critical infrastructure guidance. Working understanding of common Operational Technologies (OT) architectures, protocols, and constraints, including industrial control systems, supervisory control and data acquisition systems, programmable logic controllers, distributed control systems, and safety-critical environments.
Member of Technical Staff - Machine Learning Capabilities Preference ModelMember of Technical Staff - Machine Learning CapabilitiesSan Francisco, CaliforniaYour work will include designing and implementing RL environments, conducting experiments and evaluations, delivering your work into production training runs, and collaborating with other researchers and engineers. We’re hiring experienced Machine Learning Engineers to design and build reinforcement learning environments to safely advance model capabilities in machine learning research and engineering.
Staff Research Scientist, Google Cloud AI Research GoogleStaff Research Scientist, Google Cloud AI ResearchSunnyvale, CAFrom creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.