ML Systems Engineer, Robotics

About this role

The ML Systems Engineer will play a pivotal role in advancing Scale's Physical AI initiatives by developing machine learning pipelines tailored for robotics and autonomous vehicles. This position focuses on creating scalable and reliable platforms to enhance model performance and facilitate collaboration between research and production teams.

What you'll do

• Maintain fault-tolerant systems for serving robotics models at scale.
• Build an internal platform for model capability discovery.
• Work with Robotics researchers to integrate and optimize models.
• Conduct system architecture and design reviews.
• Develop monitoring solutions for system health and performance.
• Lead projects from requirements gathering to implementation.

What they're looking for

• 4+ years in large-scale backend systems development.
• Expertise in optimizing ML algorithms for cloud environments.
• Proficient in programming languages like Python, Go, Rust, or C++.
• Strong understanding of serving and routing fundamentals.
• Experience with Docker, Kubernetes, and cloud providers.
• Familiar with infrastructure as code tools.
• Problem-solving mindset for fast-paced environments.

Benefits

• Comprehensive health, dental, and vision coverage.
• Retirement benefits.
• Learning and development stipend.
• Generous PTO.
• Potential commuter stipend.
• Equity-based compensation eligibility.