Senior Software Engineer, Data Science (AI Accuracy)

📋 Description Build and maintain dataset and evaluation infrastructure, incl. ground-truth controls Diagnose and fix measurement-path issues between offline evals and production accuracy Iterate on and scale labeling frameworks and knowledge capture systems Own prompt optimization across lifecycle: selection to deployment and validation Automate eval pipelines and tooling to run at scale across AI products Create reusable tooling for error analysis, audits, and experimentation; prioritize impact 🎯 Requirements Strong Python experience for data manipulation, analysis, tooling (pandas, NumPy) Solid SQL and database experience: querying, modeling, large datasets Data science background with LLM accuracy and visual reasoning Build evaluation datasets; run/debug evals with Braintrust or Langfuse; error analysis Design ground-truth and labeling systems; measure label agreement and data quality Familiar with prompt engineering across full lifecycle: selection to deployment 🎁 Benefits Mostly remote-first culture with flexible schedules Family-friendly benefits and strong internal promotions Growth opportunities and personal development Work with cutting-edge AI and robotics