Machine Learning Engineer

The role

You will own ML problems end to end, from framing ambiguous questions to shipping production systems. The role is roughly half research and half engineering on a team reporting to the Chief Scientist.

What you will do

• Frame ambiguous product needs as precise ML problems
• Decide what data is useful and which model types fit
• Direct AI coding agents and review their output
• Design systems around models including data pipelines, serving, evaluation, and monitoring
• Choose metrics that reflect real outcomes
• Stand up new jobs and make changes across the codebase
• Ship NLP and LLM systems to production
• Challenge assumptions to get to the right answer

Required qualifications

• Track record of owning ambiguous problems end to end in a research lab, startup, or own projects
• Strong ML fundamentals from probabilistic foundations to modern deep learning and LLM architectures
• Experience building the system around a model including data pipelines, evaluation, and deployment
• Hands-on experience with AI coding agents
• Expert-level Python
• Strong testing discipline

Nice to have

• NLP, knowledge graphs, entity resolution, or agentic systems
• Go or other systems programming experience
• Open-source contributions, side projects, or publications with working code
• Background from a strong research lab
• PhD

Benefits

• Competitive compensation packages
• Comprehensive benefits

About the company

Lovelace is a provider of enterprise-scale context engines that create knowledge graphs for autonomous agents. The company was founded in 2023 by Andrew Moore.