Rust Jobs for Rustaceans

Key Responsibilities:

• Build ecosystem and tools to enable cutting-edge ML research and serve large-scale ML models at the forefront of science
• Build and operate processes and tools for effective operational management of research and production software
• Design, implement and manage cloud infrastructure for all stages of ML model lifecycle, from research, through training, to production inference
• Partner and collaborate with a diverse set of teams incl. science, research, product, business development and operations
• Contribute to core technical decisions (e.g. choice of tooling, infrastructure, and architectural design)

Requirements:

• Hands-on experience managing and deploying workloads on Kubernetes
• Experience building and prototyping secure/scalable platforms/products on cloud
• Strong experience in DevOps best practices
• Strong foundations in software engineering
• Proficiency in any of the following: Python, Golang, Rust, JavaScript

Ideally you’ll also have:

• Experience, and active participation at any stage of the ML Model Lifecycle, for instance:
  • Developing training/inference platforms
  • Managing large fleets of compute for ML purposes
  • Or other relevant experience related to ML model lifecycle
• Practical experience with modern Machine Learning Ops lifecycle, tools, and frameworks

Nice to have:

• Experience supporting machine learning research activities
• Familiarity with python-based ML frameworks like TensorFlow, PyTorch, or JAX
• Experience with Google Cloud Platform (GCP)