The opportunity
The goal of a Senior Machine Learning Engineer at Scale is to own how we apply generative AI, agentic AI, computer vision, and reinforcement learning to mission-critical problems in production. Our senior machine learning engineers are handed problems that don't yet have an…
What you'll do
Own the design and delivery of agent capabilities end to end: architecture, implementation, and the evaluation that proves they work
Define net-new patterns in problem spaces with no established approach,: propose them to the wider team, and lead the work to build them
Take state of the art models developed internally and from the community and: put them into production to solve problems for our customers and taskers
Improve and maintain production models and agents through retraining,: hyperparameter tuning, and architectural updates, while preserving core performance characteristics
Build agent-level evaluation benchmarks, LLM judges, and verifiers: and use it to hillclimb performance rather than just report on it
Partner with product and research teams to scope and shape high-impact: initiatives, including for upcoming product lines
What they're looking for
- Build scalable machine learning infrastructure to automate and optimize our ML services
- Work directly with government users and subject-matter experts, and translate: what you learn into technical direction
- Act as a force multiplier and a primary reviewer for your team, mentoring at: least one engineer, and your manager's go-to on feasibility questions
- Communicate technical tradeoffs clearly to non-technical stakeholders
