Turn on analytics and we load Google Analytics: Google gets the pages you open and what you do here — searches, jobs you view, jobs you apply to — and sets its own cookies. Leave it off and the only cookies we set are your login, your theme, and this answer. Accept All also records a yes to advertising, which nothing uses yet. Privacy Policy.
37 open listings · Page 2 of 2
Roles posted by organizations here, alongside roles we found on employers’ own careers sites. Crawled roles say so on the card and send you to the employer to apply. Only show organizations on Career App
Torc Robotics
Full-time · Ann Arbor, MI · $177,300 – $212,800 · Remote
This role develops machine learning models and algorithms for autonomous truck localization and sensor fusion, using data from multiple vehicle sensors to estimate pose and motion. It suits experienced ML engineers with robotics or autonomous vehicle backgrounds who want to build production systems for commercial autonomous driving.
Listed on Torc Robotics’s careers site · Apply there ↗
Anyscale
San Francisco, CA · $200,000 – $240,000 · Remote
This infrastructure engineering role focuses on designing and optimizing the distributed systems that power Anyscale's Ray platform, handling everything from Kubernetes orchestration to GPU integration. It suits experienced engineers with deep cloud infrastructure expertise who want to work on both open-source projects and production systems serving AI applications at scale.
Listed on Anyscale’s careers site · Apply there ↗
Remote - United States · $216,700 – $303,400
Reddit seeks a senior engineer to design and build the infrastructure platforms that enable the company's machine learning teams to train, optimize, and deploy recommendation and content discovery models at scale. This role suits experienced ML infrastructure engineers who enjoy solving complex systems problems in distributed computing environments and collaborating closely with model development teams.
Listed on Reddit’s careers site · Apply there ↗
Cohere
Full-time · New York, NY · CA$250,000 – CA$535,000 · Remote
This role focuses on building and optimizing the infrastructure that trains Cohere's large language models at scale, working closely with researchers to improve training pipelines and performance. It suits engineers with strong software fundamentals and hands-on experience in distributed systems who want to bridge research and production in a compute-rich environment.
Listed on Cohere’s careers site · Apply there ↗
Torc Robotics
Full-time · Remote - US · $132,400 – $158,900
This role supports machine learning teams at an autonomous trucking company by maintaining the infrastructure, pipelines, and tools that enable model development. It's suited for engineers who want broad exposure to MLOps in a complex domain, working with experienced teams to solve infrastructure problems at scale.
Listed on Torc Robotics’s careers site · Apply there ↗
Anyscale
San Francisco, CA · $170,000 – $199,000 · Remote
A technical support role helping customers deploy and optimize machine learning workloads on Anyscale's distributed computing platform. Suits experienced ML practitioners who enjoy troubleshooting complex infrastructure issues and working across customer and engineering teams.
Listed on Anyscale’s careers site · Apply there ↗
Remote - United States · $216,700 – $303,400
Reddit is hiring a Machine Learning Engineer to design and deploy production systems powering recommendations, search, ads, and AI features across their platform. This role suits engineers with 3+ years building ML systems at scale who want to work on high-impact problems affecting millions of users.
Listed on Reddit’s careers site · Apply there ↗
Torc Robotics
Full-time · Ann Arbor, MI · $153,200 – $183,800 · Remote
This role embeds a machine learning engineer within Torc's autonomy teams to drive adoption of their simulation platform, ensuring models can replay and evaluate performance at scale while translating between platform engineers and model developers. It suits someone comfortable moving between infrastructure, data pipelines, and domain knowledge in perception or other autonomous-driving models.
Listed on Torc Robotics’s careers site · Apply there ↗
Anyscale
San Francisco, CA · $170,000 – $245,000 · Remote
Anyscale is hiring an engineer to optimize large-scale LLM inference systems, building infrastructure that developers can use to run machine learning models efficiently from laptop to cluster. This role suits someone with distributed systems expertise who wants to work on high-performance AI infrastructure and contribute to open-source projects like Ray and vLLM.
Listed on Anyscale’s careers site · Apply there ↗
Torc Robotics
Full-time · Ann Arbor, MI · $249,600 – $299,500 · Remote
Lead Torc's Scene Generation team in developing neural rendering and generative models for autonomous truck sensor simulation, owning the technical vision and day-to-day execution of research translation into production systems across camera, LiDAR, and radar data.
Listed on Torc Robotics’s careers site · Apply there ↗
Torc Robotics
Full-time · Ann Arbor, MI · $177,300 – $212,800 · Remote
This role leads the development of high-quality training datasets for Torc's vision-language and end-to-end autonomous driving models, converting petabytes of fleet sensor data into labeled datasets that drive model performance. It suits experienced ML engineers who combine deep expertise in computer vision, multimodal models, and distributed data systems with the judgment to own a critical technical pipeline and mentor others.
Listed on Torc Robotics’s careers site · Apply there ↗
Torc Robotics
Full-time · Ann Arbor, MI · $177,300 – $212,800 · Remote
Lead machine learning engineering efforts to build automated data pipelines that extract safety-critical driving scenarios from autonomous vehicle sensor logs and structure them for training and validation. This role suits experienced ML engineers who excel at scaling data systems and want to directly impact autonomous trucking safety.
Listed on Torc Robotics’s careers site · Apply there ↗