Senior Machine Learning Engineer, Public Sector

📋 Description

• Own the design and delivery of agent capabilities end to end - architecture, implementation, and
• Define net-new patterns in problem spaces with no established approach, propose them to the wider
• Take state of the art models developed internally and from the community and put them into
• Improve and maintain production models and agents through retraining, hyperparameter tuning, and
• Build agent-level evaluation benchmarks, LLM judges, and verifiers - and use it to hillclimb
• Partner with product and research teams to scope and shape high-impact initiatives, including for

🎯 Requirements

• 5+ years of experience building and deploying applied ML systems in production environments
• Extensive experience with GenAI, Agentic AI, natural language processing, deep learning and deep
• A track record of owning architectural decisions and defending the tradeoffs behind them - not just
• Experience shipping agentic systems with real production traffic and evaluation rigor, rather than
• Solid background in algorithms, data structures, and object-oriented programming
• Strong programming skills in Python, experience in PyTorch or Tensorflow

🎁 Benefits

• Comprehensive health, dental and vision coverage
• Retirement benefits
• Learning and development stipend
• Generous PTO
• Commuter stipend (may be eligible)