Transform industries with Atoms as an Infrastructure Engineer focused on Machine Learning in San Francisco. You'll be at the forefront of designing high-performance training systems for autonomous vehicles. Atoms is looking for an experienced Machine Learning Infrastructure Engineer with 8+ years in software engineering.

Your role will involve creating scalable ML infrastructures utilizing advanced technologies like Kubernetes and distributed frameworks. Ideal candidates will demonstrate proficiency in backend programming and MLOps technologies. Key Responsibilities:

- Create effective machine learning infrastructure with Kubernetes
- Scale distributed GPU training for multi-node workloads
- Develop data engineering pipelines for vehicle data
- Design validation infrastructure for autonomous models
- Collaborate with teams to enhance the deployment lifecycle Requirements:
- 8+ years in software engineering
- Expertise in Go, Python, or Java programming
- Familiar with Kubernetes for container orchestration
- Experience in building effective MLOps pipelines
- Knowledge of distributed computing for ML applications Contribute to the evolution of robotics and AI in our systems at Atoms.

📌 Infrastructure Engineer for Machine Learning at Atoms (Canada)
🏢 Atoms
📍 Canada