Senior Machine Learning Engineering Manager, Safety AI Systems RobloxSenior Machine Learning Engineering Manager, Safety AI SystemsSan Mateo, CA$295,250–$345,040 / yearYou’ll oversee machine learning systems, constructing multimodal model architectures, improving data quality, training pipelines, and model performance to address challenges like real-time multi-verse content understanding and advanced moderation with large vision language models, spanning avatars, images, videos, audios, text, code / data models, and their composites. Collaborate cross-functionally with Product, Data Science, Policy, Design, and Operations partners to define and prioritize the machine learning roadmap for multimodal safety initiatives, ensuring alignment with broader Safety and Roblox objectives.
NewStaff Machine Learning Engineer - San Francisco Haus AnalyticsStaff Machine Learning Engineer - San FranciscoSan Francisco, CaliforniaWith 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 - Robot Manipulation Maven RoboticsMachine Learning Engineer - Robot ManipulationSan Francisco, CaliforniaIn this role you will: Design and implement machine learning algorithms, with a focus on reinforcement learning (RL) and imitation learning (IL), to enable robotic manipulators to perform complex tasks in dynamic environments. We are looking to recruit an exceptional Machine Learning Engineer - Robot Manipulation to design, implement, test, and deploy robot manipulation algorithms that enable assembly and material movement tasks.
NewMachine Learning Systems Engineer — Sensor Algorithms TalentlabMachine Learning Systems Engineer — Sensor AlgorithmsSanta Clara, CaliforniaTalentLab is working with a leading semiconductor and edge-computing technology company on an opportunity for a Machine Learning Systems Engineer focused on advanced sensor algorithms. The work sits at the intersection of sensor fusion, signal processing, estimation and machine learning , with responsibility spanning algorithm design, evaluation and eventual deployment onto embedded platforms.
Senior / Staff Machine Learning Engineer - Scene Intelligence ZooxSenior / Staff Machine Learning Engineer - Scene IntelligenceFoster City, CA$189,000–$290,000 / yearCollaborating with world-class engineers and researchers across sensors, planning, and other teams, you'll have access to premium sensor data and cutting-edge infrastructure to validate your algorithms in real-world conditions. Lead the full post-training stack for VLMs and VLAs, including Continual Pre-training (CPT) on domain-specific driving data, Supervised Fine-Tuning (SFT) for instruction following.
NewManager, System Safety (Service and Operations Verification and Validation) ZooxManager, System Safety (Service and Operations Verification and Validation)Foster City, CAHere at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.
Senior Staff Machine Learning Engineer - Perception ZooxSenior Staff Machine Learning Engineer - PerceptionFoster City, CA$308,000–$370,000 / yearExperience with training and deploying Deep Learning models on sensor data-Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.
Staff Machine Learning Engineer, End-to-End Autonomy RivianStaff Machine Learning Engineer, End-to-End AutonomyPalo Alto, California$243,000–$304,800 / 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.
NewStaff Machine Learning Engineer Pivotal SolutionsStaff Machine Learning EngineerSan Francisco, CaliforniaDeep expertise in machine learning algorithms, frameworks, and the full ML lifecycle, including data extraction, feature engineering, model serving, and monitoring for both live and batch processing. Develop and maintain ML pipelines to optimize critical processes for global lending products, including anti-fraud systems, credit strategy, and marketing optimization.
NewStaff Software Engineer - SRE, GitHub & CI/CD Infrastructure ZooxStaff Software Engineer - SRE, GitHub & CI/CD InfrastructureFoster City, CAYou'll set the direction for our Git-based monorepo, drive a potential migration to GitHub Cloud, build the tooling that smooths developer workflows, and partner with platform, security, and product teams to make source control a strategic asset rather than a bottleneck. The ideal candidate leads by building — with deep expertise in monorepo management (branching strategies, code review workflows, access controls, CI/CD) and a track record of improving developer productivity through code, not just guidance.
Machine Learning Engineer, Causal Inference, Level 5 SnapchatMachine Learning Engineer, Causal Inference, Level 5Palo Alto, CA$209,000–$313,000 / year5+ years of post-Bachelor's experience in machine learning, with hands-on experience in causal inference or experimentation; or Master's degree in a technical field + 4+ year of post-grad machine learning experience; or PhD in a relevant technical field + 2 years of post-grad machine learning experience. Knowledge, Skills & Abilities: Strong understanding of causal inference and modern approaches to estimating treatment effects (e.g., meta learners, propensity score matching, instrumental variables).
Machine Learning Engineer - Robot Perception Maven RoboticsMachine Learning Engineer - Robot PerceptionSan Francisco, CaliforniaWe are looking to recruit an exceptional Machine Learning Engineer - Robot Perception to design, implement, test, and deploy robot perception algorithms that power our robots’ ability to understand and interact with the world. Work closely with hardware engineers to design sensor configurations and optimize perception models for onboard deployment.
Machine Learning Engineer - ML Agents and Planning ZooxMachine Learning Engineer - ML Agents and PlanningFoster City, CAAs an ML Agents and Planning Machine Learning Engineer you will work on the bleeding edge of the industry, developing novel machine learning pipelines and models to predict the behavior of other agents in the world and planning the best course of action for the ego vehicle. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance.
Senior / Staff Machine Learning Engineer - Perception Mapping ZooxSenior / Staff Machine Learning Engineer - Perception MappingFoster City, CA$242,000–$290,000 / yearWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance.
Machine Learning DevOps - Cloud and Compute Cluster - R&D Support PathwayMachine Learning DevOps - Cloud and Compute Cluster - R&D SupportPalo Alto, CARemote€60,000–€80,000Pathway is led by co-founder & CEO Zuzanna Stamirowska, a complexity scientist who created a team consisting of AI pioneers, including CTO Jan Chorowski who was the first person to apply Attention to speech and worked with Nobel laureate Goeff Hinton at Google Brain, as well as CSO Adrian Kosowski, a leading computer scientist and quantum physicist who obtained his PhD at the age of 20. For example, if you have made an accepted contribution to the Linux kernel, won an important bug bounty, supported an academic grid/cluster computing team in a scaling effort, or even won a sports championship, make sure to mention this in your application!
Founding Machine Learning Engineer Transparent Search GroupFounding Machine Learning EngineerSan Francisco, CaliforniaThis is a unique opportunity to work with an ultra-personal data-set, combining voice transcripts, images, and structured user data to create both personalized AI companions as well as predict human compatibility. Known is building an AI-powered social platform that creates personalized AI companions and predicts human compatibility.
Machine Learning Engineer NeuralinkMachine Learning EngineerSouth San Francisco, CA$199,000–$331,000 / yearJob Responsibilities: Telepathy Product: Develop and refine models that decode neural data, enabling individuals with paralysis to reliably type at 35 words per minute or control robotics arms for activities of daily living. Blindsight Product: Formulate research questions to guide the development of neural networks and signal processing algorithms that will restore vision to those affected by blindness.
Senior Machine Learning Engineer, Voice AI Together AISenior Machine Learning Engineer, Voice AISan Francisco, CA$200,000–$260,000 / yearWe believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. You'll work hands-on with inference engines like TRT-LLM and SGLang to optimize how we serve models like Whisper, Parakeet, Orpheus, and Kokoro - pushing latency and throughput to the frontier.
Head of Applied Machine Learning Gametime UnitedHead of Applied Machine LearningSan Francisco, CA$292,033–$343,568 / yearGametime is seeking a Head of Applied Machine Learning to lead the development and application of machine learning and LLM-powered models that drive meaningful business impact across product, marketing, operations, and other key functions. You will work closely with Product, Data, Engineering, and business partners to identify high-value opportunities, translate them into well-defined modeling problems, and deliver production-ready solutions.
Machine Learning Engineer - Inference Together AIMachine Learning Engineer - InferenceSan Francisco, CA$160,000–$230,000 / yearCollaborate with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world. Excellent understanding of low-level operating systems concepts including multi-threading, memory management, networking, storage, performance, and scale.