Machine Learning Engineer I, Network HandshakeMachine Learning Engineer I, NetworkSan Francisco, CAThe team works with retrieval and ranking approaches including graph-based models, bi-encoders, semantic cross-encoders, and multi-stage rankers, supported by a data platform containing billions of data points. You'll work closely with experienced machine learning engineers, data scientists, product managers, and software engineers to develop models, run experiments, and deploy reliable ML solutions to production.
Machine Learning Engineer PoesisMachine Learning EngineerSan Francisco, CaliforniaAt Poesis, machine learning and artificial intelligence open the door to improved alpha discovery, higher quality decision-making and intelligent risk management. You'll work across the full machine learning lifecycle, from experimentation and model and agent development to deployment and iteration, with significant ownership over both research and production outcomes.
Staff Machine Learning Engineer - San Francisco HausStaff Machine Learning Engineer - San FranciscoSan Francisco, CAWith support from PhD economists, data scientists, and growth experts, Haus' AI-driven technology translates complex marketing measurement into clear action and outcomes, enabling brands like Dyson, Wayfair, Sonos, Fanduel, SharkNinja, and Intuit to optimize spend, accelerate growth, and make smarter marketing decisions at scale. Drive initiatives from concept to final product delivery, ensuring seamless end-to-end execution: lead or contribute to the design, development, optimization, and product ionization of machine learning (ML) solutions for complex and high-impact problems.
Machine Learning Engineer SuperhumanMachine Learning EngineerSan Francisco, CAHas a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments. The company's products include Grammarly's writing assistance, Coda's collaborative workspaces, Mail's inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically.
Staff Machine Learning Engineer - Agentic Models, Llm, Rag, Genai Eightfold, Inc.Staff Machine Learning Engineer - Agentic Models, Llm, Rag, GenaiSanta Clara, CAOur platform is built from the ground up, operating at scale across Azure and AWS, deployed in multiple regions globally, including IL4-compliant environments for the US Government, supporting users in 100+ countries and 30+ languages. We work with massive datasets, tackle complex challenges, and focus on real-world reliability, shipping systems that manage multi-step reasoning and distributed state management at enterprise scale.
Machine Learning Engineer, Voice SpeakMachine Learning Engineer, VoiceSan Francisco, CaliforniaSpeak is one of the world’s leading AI companies, with over $150m raised in venture investment from OpenAI, Accel, Founders Fund, Khosla Ventures, and more, with a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana. Speak is building a human-level, AI-powered tutor in your pocket: a conversation-first experience that lets learners actually speak, get instant feedback, and progress through carefully designed lessons.
Machine Learning Engineer KreaMachine Learning EngineerSan Francisco, CaliforniaConducting large-scale experiments on high-performance computing clusters, optimizing data pipelines for massive image datasets. Proven track record in working with image or video models at scale (publications or open-source contributions a plus).
Lead Machine Learning Engineer - Agentic Models, Llm, Rag, Genai Eightfold, Inc.Lead Machine Learning Engineer - Agentic Models, Llm, Rag, GenaiSanta Clara, CAOur platform is built from the ground up, operating at scale across Azure and AWS, deployed in multiple regions globally, including IL4-compliant environments for the US Government, supporting users in 100+ countries and 30+ languages. Today, Eightfold is at the forefront of agentic AI, delivering intelligent agents that actively drive outcomes across hiring and talent workflows, while much of the industry is still experimenting with prototypes.
Machine Learning Engineer AvenMachine Learning EngineerCampbell, CAYou will also be responsible for system architecture, participating in design reviews, and conducting code reviews to ensure best practices. You are passionate about digging into data, cleaning it, analyzing it, generating ideas, and building models.
Staff Machine Learning Engineer, AI Agent Platform Geico InsuranceStaff Machine Learning Engineer, AI Agent PlatformPalo Alto, CA$115,000–$260,000 / yearBuild and optimize context engineering systems - memory hierarchies (short-term, working, long-term), RAG pipelines, scratchpads, context compaction/summarization, and dynamic skill/tool loading - ensuring AI agents receive the right information at the right time while minimizing token waste. Architect scalable multi-tenant backend systems for AI agent workflows - including AI agent configuration, evaluation, synthetic data generation, workflow simulation & evaluation, MCP server registry, A2A communication infrastructure, and guardrail enforcement layers using AKS, FastAPI, etc.
Sr. Machine Learning Engineer Intel Corp.Sr. Machine Learning EngineerSanta Clara, CA$195,200–$361,200 / yearThis role sits at the intersection of research and engineering: the ideal candidate designs and implements algorithms for agent harness and post-training pipelines, develops RL environments and reward models, and conducts training runs to improve model capabilities for agentic applications. Small, efficient models run directly on the user's machine (AI PC, edge, on-prem, and beyond), keeping data private and token costs low, while powerful cloud models handle the hardest work: planning, reasoning, and complex problem-solving.
Machine Learning Engineer Twilio IncMachine Learning EngineerSan Francisco, CA$155,520–$194,400 / yearHands-on experience with workflow orchestration and data pipelines (e.g., Airflow, Kubeflow) and cloud data platforms/storage (e.g., SageMaker Feature Store, Snowflake, DynamoDB, OpenSearch). You will collaborate closely with a cross-functional team of engineers, architects, product managers, UI/UX designers, and ML/data science partners to deliver robust, reliable solutions that power customer success.
Matterport - Lead Machine Learning R&D Engineer CoStar GroupMatterport - Lead Machine Learning R&D EngineerSunnyvale, CaliforniaRemote$270,000–$307,000 / yearYou will play a critical role in researching, designing, and implementing cutting-edge machine learning algorithms and models that enhance our ability to digitize the built world, transform physical spaces into rich digital twins, extract valuable insights from them, and create delightful user experiences that make it easy for our customers to modify and interact with their digital twins. Demonstrated expertise in one or more of the following areas: neural rendering (e.g., Gaussian splatting, NeRFs, large reconstruction models, world models), 3D computer vision (e.g., SLAM, 3D reconstruction, point cloud processing, mesh processing), image/video generation models, 2D/3D semantic understanding, depth estimation.
Machine Learning Engineer Eightfold, Inc.Machine Learning EngineerSanta Clara, CAOur platform is built from the ground up operating at scale across Azure and AWS, deployed in multiple regions globally, including IL4-compliant environments for US Government, supporting users in 100+ countries and 30+ languages. RTO policy for employees based near our Santa Clara, CA office are expected to work from the office 3 days per week, as we believe regular in-person engagement is essential to how we build high-impact products and strong teams.
Machine Learning Engineer, Customer Engineering AnyscaleMachine Learning Engineer, Customer EngineeringSan Francisco, CaliforniaThe Customer Engineer will play a crucial role in the customers’ post-sale journey - helping them to onboard, adopt and grow on Anyscale, troubleshooting and resolving open customer tickets and driving consumption. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert.
Machine Learning Engineer UnitXMachine Learning EngineerMilpitas, CaliforniaBuild Automated Pipelines: Develop and maintain automated pipelines for data preprocessing, augmentation, and model training to continuously optimize deployed solutions. Collaborate Cross-Functionally: Work closely with software engineers, robotics specialists, and hardware teams to seamlessly integrate ML solutions into fully automated industrial workflows.
Staff / Principal Machine Learning Engineer, Serving - USA InworldStaff / Principal Machine Learning Engineer, Serving - USAMountain View, CaliforniaThey are used to power the largest consumer-facing AI applications available, across categories like health, fitness, learning, therapy, companions, customer experience and media; representing 100s of millions of end users. Our work spans areas like research and development of state-of-the-art models, optimizing realtime inference, and creating best-in-class APIs and products that allow developers to engage their users.
Senior Staff Machine Learning Engineer Geico InsuranceSenior Staff Machine Learning EngineerPalo Alto, CA$150,000–$300,000 / yearResponsibilities: Technical Design & Architecture: Own design, architecture and development of multiple inter-connected high-performance, durable and scalable platform components that collectively power large sets of end-to-end GenAI agentic workflows. Cross-functional collaboration: Collaborate with cross-functional teams, including data scientists, ML engineers, software engineers, product managers, designers to gather requirements, define project scope and prioritize feature backlogs.
Machine Learning Operations Engineer (MLOps) The Hiring MethodMachine Learning Operations Engineer (MLOps)Fremont, CaliforniaThe successful candidate will work directly with Process Engineering, Product Engineering, Test Engineering, Manufacturing, MES, and IT teams to build data pipelines, develop machine learning models, and deploy production-ready AI solutions into manufacturing workflows. A global leader in photonics and semiconductor technology is seeking a Machine Learning Operations (MLOps) Engineer to help develop, deploy, and scale AI/ML solutions within advanced manufacturing operations.
Senior Principal Machine Learning Engineer SambaNova Systems, Inc.Senior Principal Machine Learning EngineerSan Jose, CA$220,000–$300,000 / yearAs a Senior Principal Machine Learning Engineer, you will be responsible for designing, developing, and optimizing machine learning models-with a focus on cutting-edge Large Language Models (LLMs)-to run efficiently on SambaNova's specialized hardware architecture, including the RDU. This critical role bridges advanced LLM research and practical deployment, involving the development of model architectures, improving training and inference efficiency, and collaborating on hardware-software co-design with compiler, systems, and hardware teams.