Senior Machine Learning Engineer

Position: Senior Machine Learning Engineer at Atoms
Join Atoms as a Senior Machine Learning Engineer in San Francisco, focusing on scalable infrastructure for ML training pipelines. Accelerate the development of cutting-edge autonomous transport systems.

This position requires an experienced Machine Learning Infrastructure Engineer with a strong software background of 8+ years. You will design high-performance training environments with Kubernetes that cater to artificial intelligence in real-world applications. Candidates should possess backend programming skills and experience in building MLOps pipelines.

Key Responsibilities:

• Design scalable ML training infrastructure using Kubernetes

• Manage distributed computing frameworks for GPU tasks

• Integrate advanced experiment tracking tools

• Optimize data ingestion pipelines for training

• Build robust infrastructure for model validation

Requirements:

• 8+ years in professional software engineering

• Strong skills in Go, Python, or Java

• Experience with distributed ML compute architectures

• Hands-on with MLOps and metadata management

• Proven success in managing data pipelines

Be part of transformative work that integrates automation into essential industries at Atoms.
#J-18808-Ljbffr