Skill
Ray/Anyscale
Data Science, Analytics and AI/ML
Ray is an open-source distributed computing framework that makes it easier to scale Python applications, particularly machine learning workloads like distributed training, hyperparameter tuning, and reinforcement learning, across clusters of machines. Anyscale is the company founded by Ray's original creators (from UC Berkeley's RISELab) that offers a managed platform and commercial support built on top of Ray. Machine learning engineers and data scientists use these tools to scale compute-intensive AI workloads beyond a single machine.
Open roles requiring Ray/Anyscale (2)
ML Engineer, I - MLOps Framework
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 ↗
ML Engineer, II - Perception
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 ↗
Roles that use Ray/Anyscale
Related skills
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