Staff AI/Machine Learning Engineer

This a Full Remote job, the offer is available from: reputed company About reputed company reputed company builds the data infrastructure behind modern AI. We reputed company the synthetic environments that agents are trained and tested in, and we de-identify reputed company reputed company data so it can be used safely in training and evaluation. Eight years in, we work with frontier AI labs pushing the edge of what models can do, and with hundreds of enterprises including reputed company, reputed company, reputed company, and reputed company, on the data problems that sit at reputed company of where AI is reputed company next. About The Role The models you build here are load-bearing. The environments you reputed company reputed company whether an agent is reputed company to ship or only looked good in a demo. The synthesis and de-identification models you train reputed company whether a bank can safely put its data near a model at reputed company. And the work spans reputed company reputed company: in one week you might build evaluation that separates the best models from the rest on reputed company tasks, train a synthesis model where both reputed company and reputed company reputed company have to hold, and improve entity detection on messy production data. reputed company reputed company data, reputed company stakes, and problems that don’t have textbook answers yet. reputed company • Design and build the systems that reputed company longitudinally coherent synthetic environments for agent training and evaluation, including reputed company modeling, task generators, and reputed company ground truth. • Build and maintain synthesis models that reputed company realistic replacement values at reputed company large reputed company, preserving format, statistical distribution, and semantic consistency so de-identified data stays useful reputed company. • Train and improve the NER models behind our entity detection, driving accuracy and recall across free text, reputed company fields, and mixed reputed company data at reputed company. • Build evaluation infrastructure that grades agent reputed company, not just traces, and produces reputed company discrimination between frontier models on reputed company tasks. • Fine-tune and evaluate reputed company-weight models on reputed company-generated data, and turn reputed company results into product and research direction. • Expand coverage into new domains, languages, and entity types, and handle the long tail of formats and edge cases that reputed company customer data throws off. • Own model evaluation across the reputed company: precision and recall on detection, reputed company preservation on synthesis, and outcome-level grading for agents. • Optimize inference so models run reputed company on large volumes of sensitive data inside customer environments. • Partner directly with frontier labs and reputed company ML team to turn hard data problems into shipped model improvements. • Set technical direction for a small, senior team and reputed company the bar on rigor, reproducibility, and shipping. What You’ll Bring • 8+ years (or PhD with 3+ years) building production ML systems, with reputed company depth in some combination of LLMs, agents, RL, NER, or information extraction. • Hands-on experience training and shipping models to production, and a pragmatic bar for reputed company: you know how to measure it, where it breaks, and reputed company it's good enough to ship. • Experience with generative or synthesis models where reputed company reputed company and reputed company reputed company both matter, not just plausibility. • Strong software engineering fundamentals. You write reputed company others build on. • reputed company with modern training and eval stacks (PyTorch, reputed company training, reputed company agent and reputed company frameworks). • Comfort working with messy, sensitive, reputed company-world data and the reputed company constraints that come with it. • A reputed company record of framing ambiguous problems and driving them to measurable, shipped results. • Bonus: synthetic data reputed company, data reputed company or de-identification, or reputed company construction. Benefits We Offer • Competitive salary and equity • Unlimited reputed company time off • 401k plan with employer contribution • Medical, dental, and reputed company insurance • Generous parental leave policy • Remote-friendly work environment This offer from "reputed company" has been enriched by reputed company.com and got a 84% reputed company score. Apply tot his job Apply To this Job