Synthesia08.04.2026
Principal ML Platform Engineer
Полная занятостьУдалёнка
Обязанности
- 01Design and improve the platform systems that support model training, evaluation, and production serving
- 02Build infrastructure and tooling that make ML workloads more reliable, scalable, and cost-efficient
- 03Develop internal tools and workflows that are easy to operate both by humans and by agents
- 04Work on the architecture behind how models are deployed, served, and operated across research and product environments
- 05Improve how we schedule, monitor, and debug workloads running on GPUs and cloud infrastructure
- 06Develop internal tools and abstractions and agentic systems that reduce operational overhead for researchers and engineers
- 07Drive improvements across observability, automation, reliability, and developer experience
- 08Collaborate closely with researchers and product engineers to understand pain points and turn them into robust platform capabilities
- 09Contribute to technical direction and make pragmatic architectural tradeoffs as the platform grows
Требования
- 01Strong experience building or operating production systems with a focus on reliability, scalability, and maintainability
- 02A systems mindset: you naturally think in terms of bottlenecks, failure modes, interfaces, resource usage, and long-term operability
- 03Solid hands-on experience with cloud infrastructure, Linux, and infrastructure automation
- 04Experience with Kubernetes and operating distributed workloads in production
- 05Strong coding skills, ideally in Python or similar languages used for backend systems and tooling
- 06Strong judgment around where automation adds leverage, and where human control and reliability matter most
- 07Experience building internal platforms, developer tooling, or infrastructure abstractions used by other engineers
- 08Comfort working in ambiguous environments and taking ownership of open-ended technical problems
- 09A pragmatic approach: you care about solving the right problem well, not over-engineering
- 10Operating ML infrastructure or model serving systems in production
- 11Supporting research or data-intensive workloads
- 12Working with GPU-based systems or other performance-sensitive infrastructure
- 13Experience with observability and debugging in distributed systems
Условия
- 01Hands-on IC role with significant ownership
- 02Opportunity to shape how the ML platform evolves as the company scales
- 03Work with cutting-edge AI video platform technology
- 04Collaboration with top-tier researchers and product engineers
- 05Headquarters in London with offices across Europe and the US
- 06Recent Series E funding ($200M) with a $4B valuation