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80 open listings · Page 4 of 4
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
Comcast
Philadelphia, PA
This role involves designing and building a platform that enables third-party smart home devices to integrate with Comcast's ecosystem through cloud APIs and event-driven patterns. It suits experienced backend engineers comfortable with Go and AWS who enjoy solving complex distributed systems problems and collaborating across technical and business teams.
Listed on Comcast’s careers site · Apply there ↗
Together AI
Full-time · San Francisco, CA · $220,000 – $270,000
This role involves designing and building the virtualization and infrastructure layers for Together AI's GPU cloud platform, including hypervisor work, Kubernetes operators, distributed scheduling, and fault-tolerance systems that power high-performance AI compute across global data centers. It suits experienced backend engineers who thrive owning large distributed systems end-to-end and have deep expertise in cloud infrastructure, networking, or GPU compute.
Listed on Together AI’s careers site · Apply there ↗
Torc Robotics
Full-time · Ann Arbor, MI · $160,800 – $193,000 · Remote
This role focuses on building algorithms and systems to automatically detect and categorize driving events from massive volumes of autonomous truck sensor data, turning raw logs into curated datasets that fuel development across the company's perception and simulation teams. You'll combine rule-based logic, machine learning, and geospatial reasoning to identify long-tail scenarios, then own the full pipeline from design through production monitoring on cloud-scale data systems.
Listed on Torc Robotics’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 ↗
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 ↗