NewMachine Operator AerotekMachine OperatorSan Jose, CA$22–$25 / hourSince 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role in solving companies’ construction, manufacturing, and maintenance challenges. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meet their goals, skills, and interests.
Data Engineer III Pinnacle Technical ResourcesData Engineer IIICupertino,, California$75–$85 / hourContractorThe specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. This will be a data engineer role for processing battery testing data to facilitate battery algorithm delivery and support battery algorithm simulations to validate the battery algorithm and project the product KPIs.
Account Executive, AI SaaS | Onsite in SF Local Candidates Only Twenty80 LLCAccount Executive, AI SaaS | Onsite in SF Local Candidates OnlySan Francisco, CAThe strongest candidates will have personally created pipeline, delivered product demonstrations, closed business, and helped an early-stage company improve its go-to-market strategy. You will sell an AI-powered SaaS platform to technical and business buyers, including product leaders, engineering leaders, CMOs, revenue leaders, operations executives, founders, and other senior decision-makers.
Machine Learning Engineer - Reinforcement Learning pony.aiMachine Learning Engineer - Reinforcement LearningFremont, CAShip deep learning solutions (including LLM / VLM where appropriate) that improve human-led triaging, automate high-volume workflows, and support nuanced analysis of self-driving behavior to surface critical anomalies. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale.
Machine Learning / Senior Machine Learning Scientist / Engineer California Life CompanyMachine Learning / Senior Machine Learning Scientist / EngineerSouth San Francisco, CA$170,000–$240,000 / yearCalico's highly innovative technology labs, its commitment to curiosity-driven discovery science, and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs. The ideal candidate should be familiar with state-of-the-art machine learning techniques, including language/sequence modeling, representation learning, generative models, and self-supervised learning techniques.
Machine Learning Engineer - Reinforcement Learning Pony AIMachine Learning Engineer - Reinforcement LearningFremont, CAShip deep learning solutions (including LLM / VLM where appropriate) that improve human-led triaging, automate high-volume workflows, and support nuanced analysis of self-driving behavior to surface critical anomalies. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale.
Head of Machine Learning – Remote Glint Tech Solutions LLCHead of Machine Learning – RemoteSunnyvale, CARemote$210,000–$250,000 / yearYou'll lead a high-performing ML team while remaining technically credible, partnering closely with Product, Engineering, and Executive Leadership to develop production-grade machine learning systems that directly impact the business. This is a highly visible leadership role responsible for building and scaling the next generation of fraud detection and risk decisioning products.
Machine Learning Engineer : 26-02124 Akraya Inc.Machine Learning Engineer : 26-02124Pleasanton, CA$55–$60 / hourThe ideal candidate will have strong expertise in supervised and unsupervised learning, deep learning, natural language processing (NLP), and cloud-based AI platforms, with hands-on experience deploying production-ready ML models using Azure and MLOps best practices. Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)!
NewStaff Machine Learning Engineer, Document & Vision Intelligence Geico InsuranceStaff Machine Learning Engineer, Document & Vision IntelligencePalo Alto, CA$130,000–$260,000 / yearThis role focuses on building scalable ML systems, applying AI-native thinking to accelerate experimentation and delivery, and partnering closely with product and business stakeholders to solve high-impact problems. You will be a technical leader for a team of Machine Learning engineers and/or data scientists focused on ensuring ML solutions are robust, high-performing, and seamlessly integrated into production systems.
Matterport - Lead Machine Learning R&D Engineer CoStar GroupMatterport - Lead Machine Learning R&D EngineerSunnyvale, CaliforniaRemoteYou 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 Glint Tech Solutions LLCMachine Learning EngineerSanta Clara, CAThis role is well-suited for engineers who enjoy working across the ML stack, are comfortable operating in ambiguous problem spaces, and are excited about applying modern deep learning methods to real-world perception, human-centric, and embodied AI problems. You will collaborate closely with researchers, engineers, and product teams to turn complex real-world data into robust, production-ready ML solutions.
Senior / Staff Machine Learning Infrastructure Engineer WaabiSenior / Staff Machine Learning Infrastructure EngineerSan Francisco, CA$157,000–$234,000 / 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, develop, and implement the machine learning platform for the continuous deployment and integration of machine learning models.
NewMachine Learning Engineer I, Network HandshakeMachine Learning Engineer I, NetworkSan Francisco, CaliforniaThe 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 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.
Machine Learning Engineer TapestryMachine Learning EngineerMountain View, CaliforniaOriginally born at X, Alphabet’s moonshot factory, Tapestry brings together experts in energy, AI, software engineering, and products to build tools that help the electricity ecosystem plan smarter, move faster, and operate more efficiently. You will work closely with other Machine Learning Engineers, Data Scientists and Software Engineers across diverse ML domains spanning multimodal machine learning, information retrieval, natural language processing and agentic AI.
Staff Machine Learning Engineer, Search Ranking SnapchatStaff Machine Learning Engineer, Search RankingSan Francisco, CA$229,000–$343,000 / year8+ years of post-Bachelor's machine learning experience; or Master's degree in a technical field + 7+ year of post-grad machine learning experience; or PhD in a relevant technical field + 4 years of post-grad machine learning experience. Develop and improve ranking models using techniques such as learning-to-rank, deep retrieval, neural ranking, sequence models, embeddings, multi-task learning, calibrated prediction, and large-scale feature engineering.
Senior Staff Machine Learning Engineer TapestrySenior Staff Machine Learning EngineerMountain View, CaliforniaPartner closely with Tapestry’s machine learning technical leads, Power Systems Scientists, Software Engineers, Product Managers, and global utility partners to translate complex, large-scale grid data into actionable insights that improve grid planning, operations, and maintenance. Own the technical roadmap and system architecture for Tapestry’s multimodal intelligence engines, scaling models across multimodal machine learning, graph neural networks, geospatial and remote-sensing data, reinforcement learning for physical control systems, and multi-turn agentic systems.
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.
NewStaff 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 PhysicsXMachine Learning EngineerSan Francisco, CaliforniaYou’ve shipped ML systems end-to-end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling; you select the right libraries, frameworks and tools. What you bring to the table Experience applying Machine learning methods (including 3D graph/point cloud deep learning methods) to real-world engineering applications, with a focus on driving measurable impact in industry settings.