What you will be doing
As the ML Platform Engineering Manager, you'll lead a team of backend engineers building our company's AI infrastructure. Your team bridges research and production, taking cutting-edge ML and generative AI models from our research teams and turning them into scalable systems that power AI features for millions of users.
The ML Platform team owns the complete AI pipeline – from research prototype to production deployment. You'll build and maintain a high-performance inference platform that serves models at scale, enabling faster research iteration and seamless user experiences across our apps.
This role requires both technical leadership and people management skills. You'll make key architectural decisions for complex distributed systems while growing and mentoring your engineering team. Success means delivering reliable, scalable AI infrastructure that supports our rapid growth in a fast-paced environment.
As the ML Platform Engineering Manager, you'll lead a team of backend engineers building our company's AI infrastructure. Your team bridges research and production, taking cutting-edge ML and generative AI models from our research teams and turning them into scalable systems that power AI features for millions of users.
The ML Platform team owns the complete AI pipeline – from research prototype to production deployment. You'll build and maintain a high-performance inference platform that serves models at scale, enabling faster research iteration and seamless user experiences across our apps.
This role requires both technical leadership and people management skills. You'll make key architectural decisions for complex distributed systems while growing and mentoring your engineering team. Success means delivering reliable, scalable AI infrastructure that supports our rapid growth in a fast-paced environment.
Requirements:
6+ years of backend systems experience with 1-3 years in engineering management / strong technical leadership experience (tech lead, senior engineer leading platform initiatives)
Proven track record of building and scaling platform systems, with demonstrated ownership of complex technical projects from design to production
Solid experience with cloud-based distributed systems, including architecture decisions, deployment strategies, and operational practices
Strong backend development skills with focus on API design, system scalability, and observability/monitoring
Experience mentoring engineers and driving technical excellence within fast-growing teams
Excellent communication skills with ability to collaborate across engineering, product, and other technical teams
Interest in or exposure to ML model serving, GPU infrastructure, or ML platform tooling – preferred but not required
Comfortable working in a distributed team environment with flexibility across time zones
B.Sc. in Computer Science or equivalent technical background.
6+ years of backend systems experience with 1-3 years in engineering management / strong technical leadership experience (tech lead, senior engineer leading platform initiatives)
Proven track record of building and scaling platform systems, with demonstrated ownership of complex technical projects from design to production
Solid experience with cloud-based distributed systems, including architecture decisions, deployment strategies, and operational practices
Strong backend development skills with focus on API design, system scalability, and observability/monitoring
Experience mentoring engineers and driving technical excellence within fast-growing teams
Excellent communication skills with ability to collaborate across engineering, product, and other technical teams
Interest in or exposure to ML model serving, GPU infrastructure, or ML platform tooling – preferred but not required
Comfortable working in a distributed team environment with flexibility across time zones
B.Sc. in Computer Science or equivalent technical background.
This position is open to all candidates.
