Senior Backend Engineer

About the Role:

• The ML Infrastructure team builds shared backend services and platform capabilities for ML model serving and data pipelines.
• We are a service team shaped by product needs, and we succeed when teams can move faster with less friction.

Challenges You Will Tackle:

• Design, build, and operate high-load distributed backend services powering the company's ML infrastructure.
• Take end-to-end ownership of core ML services and data pipelines from design to deployment.
• Partner with ML and product teams to turn their needs into reliable platform capabilities.

Requirements:

• 5+ years of backend or platform engineering experience with extensive Python knowledge.
• Hands-on experience with AWS or self-managed Kubernetes, and designing distributed services.
• Strong data structures and algorithms knowledge, with a design-driven engineering mindset.

Benefits:

• Unlimited vacation time with a strong encouragement to take at least 3 weeks per year.
• Fully remote team with a work from home stipend and Apple laptop provided.
• Training and development budget, stock options, and regular team offsites.