Research Engineer: AI/RL Infra for Autonomous Systems

applied; Sunnyvale (CA); Hybrid; USD 126,000 - 423,000; Full time

Benefits offered by this job

Comprehensive health, dental, and vision insurance

401k retirement benefits with employer match

Learning and wellness stipends

Paid time off

Job summary

Applied Intuition, based in Sunnyvale, California, is seeking a Research Engineer (AI/RL Infrastructure) for their Research Group. You will design effective training and evaluation infrastructure for cutting-edge AI research, working closely with a team of experts.

The ideal candidate has solid experience in building large-scale ML systems and excellent debugging capabilities. The position offers competitive compensation and the chance to contribute to groundbreaking technology and autonomy.

Qualifications

• Experience building and operating production-grade software systems for ML.
• Familiarity with performance engineering for large-scale ML training.
• Strong debugging skills for distributed systems in training.

Responsibilities

• Design training and evaluation infrastructure for AI research.
• Build benchmarking and regression tracking systems.
• Develop data sampling and curation pipelines.
• Enable distributed training across cloud environments.
• Collaborate with AI research teams to translate research into production.

Skills

Production-grade software systems

Machine learning lifecycle

Pytorch

Performance engineering

System debugging skills

CUDA

Ray

Flyte

Kubernetes

Education

Relevant degree in computer science or related field

Tools

GPU clusters

ML frameworks

Job description

Applied Intuition, based in Sunnyvale, California, is seeking a Research Engineer (AI/RL Infrastructure) for their Research Group. You will design effective training and evaluation infrastructure for cutting-edge AI research, working closely with a team of experts.

The ideal candidate has solid experience in building large-scale ML systems and excellent debugging capabilities. The position offers competitive compensation and the chance to contribute to groundbreaking technology and autonomy.