Senior Machine Learning Engineer, Public Sector

Job summary

Responsibilities

As a Senior MLE, you'll have design authority over a capability area - the final say on the patterns used within your team, and the responsibility to make those patterns work under real constraints: classified environments, limited compute, and correctness requirements that don't bend.

• 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

Tech stack

• Python
• PyTorch
• TensorFlow
• AWS
• GCP