Staff Software Engineer - Machine Learning HivemapperStaff Software Engineer - Machine LearningSan Francisco, CaliforniaToday, different data API products allow transparent and programmatic access for anyone to consume high-resolution imagery and sensor data, precisely extracted Map Features (speed signs, turn restrictions, highway signs, etc.). At Hivemapper, we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways.
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)!
Senior / Staff Machine Learning Engineer - Perception Attributes ZooxSenior / Staff Machine Learning Engineer - Perception AttributesFoster City, CA$242,000–$333,000 / yearBy creating reliable and accurate behavioral models, you enable Zoox's vehicles to make smart, safe decisions in complex urban environments, bringing us closer to our goal of revolutionizing urban mobility. Work with data labeling and ontology teams on data labeling and ontology definitions of the road users in different attributes and generate auto-labeling or data mining strategies for different attributes.
AI/Machine Learning Engineer 4 Staffing CorpAI/Machine Learning EngineerFremont, CaliforniaAs an AI/Machine Learning Engineer, you will play a crucial role in developing and implementing cutting-edge machine learning algorithms and AI models to solve complex problems and drive innovation. You will work closely with a cross-functional team of data scientists, software engineers, and domain experts to design, train, evaluate, and deploy machine learning models in production environments.
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.
Machine Learning Engineer Glint Tech SolutionsMachine Learning EngineerSanta Clara, CaliforniaThis 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.
Machine Learning Engineer Expert In Recruitment SolutionsMachine Learning EngineerFremont, CAThis position requires hands-on experience with model development, deployment, monitoring, and maintenance in production environments, as well as the ability to work with diverse and multi-modal datasets, including images, sensor data, voice, text, and structured data. You will transform complex and ambiguous business challenges into scalable, end-to-end solutions using a variety of machine learning techniques, including supervised learning, computer vision, and deep learning frameworks such as PyTorch.
Senior Manager, Imaging Machine Learning InsitroSenior Manager, Imaging Machine LearningSouth San Francisco, CA$247,000–$262,000 / yearIn addition to working closely with the lab, you and your team will partner closely with our imaging software team, responsible for co-developing and scaling methods your team develops, and computational biologists who will subsequently leverage these tools to extract program-level insights in conjunction with omics (perturb-seq) and clinical insights. Our discovery strategy integrates insights from multiple phenotypic readouts across diverse high-content data modalities, including data from public and proprietary human cohorts and in vitro cellular systems generated by our proprietary, automated wet-lab platforms.
Staff Machine Learning Infrastructure Engineer ATOMSStaff Machine Learning Infrastructure EngineerSan Francisco, California$224,000–$280,000 / yearYou will own the challenge of scaling distributed GPU workloads to support a high volume of concurrent training runs across an expanding vehicle fleet, building a platform that can flexibly run on whatever GPU capacity is available, regardless of provider or environment, directly accelerating innovation across the platform. Distributed Computing & Orchestration: Leverage distributed compute frameworks to efficiently manage and execute a high volume of complex ML training jobs concurrently across large GPU clusters.
Machine Learning Engineer, Local Search & Marketplace NewsBreakMachine Learning Engineer, Local Search & MarketplaceMountain View, CA$190,000–$300,000 / yearRecognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale. Apply embeddings, natural language processing, large language models, and modern retrieval techniques to connect consumer demand with relevant local content, businesses, or services.
Machine Learning Infrastructure Engineer, Safeguards Research AnthropicMachine Learning Infrastructure Engineer, Safeguards ResearchSan Francisco, CAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.
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.
Principal Machine Learning Infrastructure Researcher LightmatterPrincipal Machine Learning Infrastructure ResearcherMountain View, CA$300,000–$350,000 / yearThis role will work closely with our product, solutions architecture, and engineering teams to generate impactful performance analysis, create high-performance rack-scale designs, and publish cutting-edge ML systems research. The company invented the world's first 3D-stacked photonics engine, Passage, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.
Distinguished Machine Learning Engineer - Safety RobloxDistinguished Machine Learning Engineer - SafetySan Mateo, CA$399,420–$457,970 / yearThe Safety org is the reason why Roblox is the safest place on the internet, protecting users You will provide technical leadership on AI/ML efforts for Trust and Safety as the Roblox platform scales to serve different age groups and geographic locations. As a Distinguished Machine Learning Engineer/Technical Director in the Safety organization at Roblox, you will drive the overall technical vision and execution for all machine learning initiatives focused on maintaining the safety and civility of our users.
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 System Hardware Architect BaiduMachine Learning System Hardware ArchitectSunnyvale, CaliforniaYour job responsibilities as a Machine Learning System Architect will help the team to architect and create high-performance machine learning silicon and connect thousands of Kunlun Accelerators together for distributed AI training tasks. Do you want to work with a world-class team to explore the fast-growing AI hardware opportunities and impact on the AI industry?.
Machine Learning System Software Architect BaiduMachine Learning System Software ArchitectSunnyvale, CaliforniaYour job responsibilities as a Machine Learning System Software Architect will help the team to architect and create high-performance machine learning system software and build the distributed AI training system by connecting thousands of Kunlun Accelerators and servers. Proven track record of 5+ years architecting software solutions for Machine Learning, acceleration and optimization, especially in large distributed training system and HPC area.
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 Research Engineer WindBorne SystemsMachine Learning Research EngineerPalo Alto, CaliforniaWeather forecasting presents unusually rich machine learning problems: enormous, messy datasets; imperfect ground truth; complex physical structure; and models that must work reliably in the real world. WindBorne Systems is supercharging weather forecasts with a proprietary data source: a global constellation of next-generation smart weather balloons targeting critical atmospheric data.
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.