Machine Learning Engineer: Perception Analytics Bedrock Robotics IncMachine Learning Engineer: Perception AnalyticsSan Francisco, CABacked by $350M in funding, we're working quickly to close the gap between Americas surging demand for housing, data centers, manufacturing hubs, and the construction industrys growing labor shortage. Today, we're deploying autonomous systems on heavy construction machinery across the country, accelerating project schedules of billion-dollar infrastructure projects and improving safety on job sites.
NewMachine Learning Quantitative Researcher Equities Selby Jennings LtdMachine Learning Quantitative Researcher EquitiesSan Francisco, CAThis role is unique given the PM is open to strong talent coming from industry, tech or academia (PhD/Postdoc-level) as long as they have demonstrated the ability to tackle high-impact research in the machine learning space and have an innate interest in the technical projects that exist in quant finance. The PM has 10+ years of experience building consistently profitable signals across US and Global Equity markets and is looking for someone who can successfully leverage non-linear methods to build trading signals that are orthogonal to their pre-existing core strategies.
NewSenior Machine Learning Engineer, Search & Index Wayve Technologies LtdSenior Machine Learning Engineer, Search & IndexSunnyvale, CA$311,850–$350,625 / yearWe are hiring a Senior Machine Learning Engineer for our Search & Indexing team, responsible for making Wayve's massive corpus of multimodal video data discoverable and searchable. This role is a full-time role based in Sunnyvale, CA (hybrid) and the reasonably estimated salary for this role ranges from $311,850 to $350,625, plus a competitive equity package.
Senior Machine Learning (MLOps) Engineer - Worldwide Product Marketing Apple IncSenior Machine Learning (MLOps) Engineer - Worldwide Product MarketingCupertino, CAApply LLM assistants to support code reviews, test generation, and pipeline debugging to improve overall code quality and team velocity.8 years in software engineering with demonstrated experience in large-scale software system design and implementation. Strong understanding of data pipeline orchestration tools such as Airflow, Prefect, or similar.10 years of related experience building high-throughput, scalable applications or machine learning models in a production environment.
Senior Machine Learning Engineer, Perception - Autonomous Driving NVIDIA CorpSenior Machine Learning Engineer, Perception - Autonomous DrivingSanta Clara, CAWhat You'll Be Doing: Designing end2end solutions for Perception and AV stack to enable road network detections across various driving environments from complex intersections to rural curvy roads to multi-level highways. Now, NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world.
Machine Learning Infrastructure Engineer Institute of Foundation ModelsMachine Learning Infrastructure EngineerSunnyvale, CaliforniaYou’ll work side-by-side with world-class researchers and engineers to: • Extend distributed training frameworks (e.g., DeepSpeed, FSDP, FairScale, Horovod) • Implement distributed optimizers from mathematical specs • Build robust config + launch systems across multi-node, multi-GPU clusters • Own experiment tracking, metrics logging, and job monitoring for external visibility • Improve training system reliability, maintainability, and performance • While much of the work will support large-scale pre-training, pre-training experience is not required. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
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.
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.
Senior Machine Learning Engineer, Model Training And Reinforcement Learning Nebius Group NVSenior Machine Learning Engineer, Model Training And Reinforcement LearningPalo Alto, CA$195,200–$262,200 / yearThey can translate an ambiguous capability goal into concrete experiments, implement and debug training and RL recipes, build the supporting data and systems, and deliver measurable improvements in model quality, experiment throughput, and reliability. Your responsibilities: Design and run model-training and post-training experiments, including SFT, continued pretraining, preference optimization (DPO/IPO/KTO), and RL methods such as RLHF/RLAIF, PPO, and GRPO.
Machine Learning Operations Contractor II-VI Optical Systems, Inc.Machine Learning Operations ContractorFremont, CAWe are a vertically integrated manufacturing company that develops innovative products for diversified applications in the industrial, optical communications, military, life sciences, semiconductor equipment, and consumer markets. The MLOps Contractor will develop and validate models based on extensive production data and deploy scalable models through a combination of cloud-based infrastructure and on-premises high performance inference.
NewSenior / Staff Machine Learning Research Scientist, Agents Scale AISenior / Staff Machine Learning Research Scientist, AgentsSan Francisco, CA; SeattleThe range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $218,400 — $273,000 USD PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role.
NewFounding Machine Learning Engineer CleraFounding Machine Learning EngineerMountain View, CaliforniaThis is a founding-level ML engineering role at an early-stage AI data and services company, building core machine learning systems from the ground up alongside a small, high-ownership team. You'll bridge research and engineering to design, train, and ship production-grade models that directly serve frontier AI labs — and you'll help shape the technical culture and infrastructure from day one.
NewPlaces Data and ML Director Apple IncPlaces Data and ML DirectorCupertino, CAStrong interpersonal skills are essential for communicating technical complexities clearly to engineering partners, product management teams, and executives across Apple.15+ years of experience applying and leading engineering teams that apply sophisticated statistical and ML methods to analyze and process large, complex data sets. From Computer Vision to Generative AI and classic software engineering, maps data leverages cutting-edge ML techniques to process, interpret, and contextualize information from unstructured data ranging from text to 3D imagery.
Senior Software Engineer, Machine Learning Infrastructure HandshakeSenior Software Engineer, Machine Learning InfrastructureSan Francisco, CaliforniaYou’ll help teams move quickly from prototype to production while building the reliable, high-performance systems that power training, evaluation, and inference across Handshake. This team powers both Handshake’s core career marketplace and Handshake AI by building the shared infrastructure behind our production ML and AI systems.
Sr. Machine Learning Engineer (Perception And Tracking) Ouster IncSr. Machine Learning Engineer (Perception And Tracking)San Francisco, CA$180,000–$220,000 / yearYou will not simply be "importing" pre-made models; you will be architecting deep neural networks, translating state-of-the-art research papers into code, and optimizing these systems for real-time, on-device performance. Detection & Tracking: Deep theoretical and practical understanding of modern object detectors (e.g., Transformers, YOLO variants, R-CNNs) and tracking algorithms (e.g., DeepSORT, Kalman Filters, Optical Flow).
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.
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 - Search Warner Bros. Discovery IncStaff Machine Learning Engineer - SearchSan Francisco, CA$192,570–$357,630 / yearThis role will own the end-to-end search algorithm innovation from retrieval and ranking to personalization and experimentation, impacting how millions of users discover content globally. About You: We're looking for a Staff Machine Learning Engineer to lead the design and evolution of ML and AI driven Search algorithms for our global streaming app, HBO Max.
Staff Machine Learning Scientist, Applied Causal Inference DoorDash IncStaff Machine Learning Scientist, Applied Causal InferenceSan Francisco, CA$203,500–$299,300 / yearWe value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. We are looking for someone who has built or deeply worked on production causal systems: uplift models, heterogeneous treatment effect models, surrogate metrics, experimentation platforms, counterfactual policy evaluation, promotion optimization, or marketplace decisioning systems.
Staff Machine Learning Engineer, Causal Inference DoorDash IncStaff Machine Learning Engineer, Causal InferenceSunnyvale, CA$203,500–$299,300 / yearWe value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. We are looking for someone who has built or deeply worked on production causal systems: uplift models, heterogeneous treatment effect models, surrogate metrics, experimentation platforms, counterfactual policy evaluation, promotion optimization, or marketplace decisioning systems.