Engineering Manager - ML Platform

Lightricks is an AI-first company creating next-generation content creation technology for businesses, enterprises, and studios with a mission to bridge the gap between imagination and creation. At our core is LTX-2, an open-source generative video model, built to deliver expressive, high-fidelity video at unmatched speed. It powers both our own products and a growing ecosystem of partners through API integration.

The company is also known globally for pioneering consumer creativity through products like Facetune, one of the world’s most recognized creative brands, which helped introduce AI-powered visual expression to hundreds of millions of users worldwide. We combine deep research, user-first design, and end-to-end execution from concept to final render, to bring the future of expression to all.

We’re here to push the boundaries of what’s possible with AI and video - not for the buzz, but for the craft, the challenge, and the chance to make something genuinely new.

We believe in an environment where people are encouraged to think, create and explore. Real impact happens when people are empowered to experiment, evolve, and elevate together.

At Lightricks, every breakthrough starts with great people and a collaborative mindset. If you're looking for a place that combines deep tech, creative energy, and zero buzzword culture, you might be in the right place.

As the ML Platform Engineering Manager, you'll lead a team of backend engineers building Lightricks' 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.

• 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

• We run daily door-to-door shuttles, offering Car-to-go subscriptions from several locations in central, plus free parking and train-station pickups.
• We’re proud to have 2 chef-led restaurants on site by the legendary Machneyuda Group (yes, that Machneyuda!), plus a bakery nestled in the heart of our office, filled daily with the scent of fresh pastries.
• We empower employees with cutting-edge tools and learning opportunities to grow and succeed through workshops, access and training on platforms, subscriptions, and clear guidelines for responsible AI use.