> Markdown version of [/jobs/ext/4636643-senior-staff-software-engineer-ai-ml](https://www.wearedevelopers.com/jobs/ext/4636643-senior-staff-software-engineer-ai-ml). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior / Staff Software Engineer - AI / ML - **Company:** Snorkel AI - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Routing, Performance Tuning, Software Engineering, Software Systems, Large Language Models, Agentic-AI, Machine Learning Operations, Evaluation of Large Language Models, Data Generation - **Published:** November 8, 2026 - **Apply:** https://www.juju.com/job/28_25303_15ddc2a9f5c8e2102a3ce778af3dc26e ## About the Role Develop and scale methods that make frontier AI data generation and evaluation faster, less expensive, and more rigorous, including efficient agent evaluations, model routing, fine-tuned models, and predictive task difficulty. Establish measurement standards and turn research prototypes into reusable production components for engineers and researchers. Requirements: Requires 5+ years building production ML or software systems, hands-on experience with production LLM or ML workloads, strong Python and software engineering fundamentals, and rigorous grounding in statistics and experimentation. Candidates should have experience designing evaluations, interpreting results, and communicating effectively; fine-tuning models, evaluation platforms, agentic workloads, and research-to-production experience are preferred. Key Skills: Production Machine Learning, Python, Statistics, Experiment Design, Hypothesis Testing, Sampling, Confidence Intervals, LLM Evaluation, Model Routing, Fine-Tuning, Open-Weight Models, Agentic Workloads, Software Engineering, System Design, Testing, Research-to-Production