Staff ML Engineer
Founding Staff ML Engineer building production ML systems for governance, security, and agentic platform capabilities at Docker. Owns architecture, data pipelines, evaluation, and model lifecycle while mentoring the growing team.
Leads applied AI investments, owning technical direction for high-impact AI products from design to production deployment. Requires 8+ years AI/ML experience, Python expertise, foundation models, LLM patterns, and evaluation systems.
Founding Staff ML Engineer building production ML systems for governance, security, and agentic platform capabilities at Docker. Owns architecture, data pipelines, evaluation, and model lifecycle while mentoring the growing team.
Own ML systems for send-time optimization, propensity modeling, and nudge decisions at consumer scale. Set experimentation standards and mentor a small ML team.
Builds and manages end-to-end training pipelines for Large Language Models, including fine-tuning systems with SFT, PEFT, LoRA, and reinforcement learning techniques. Requires 8+ years in AI, hands-on LLM experience, and advanced degree in CS/Engineering.
Builds scalable backend systems and deploys ML models in production for client engagements, working embedded with top clients 3-4 days/week in New York. Requires 8+ years experience in ML engineering, Python, LLMs, cloud platforms, and client-facing work.
Builds and productionizes ML models for host personalization products using NLP and computer vision. Requires 8+ years experience, MS/PhD, strong programming, and expertise in ML infrastructure and large-scale data pipelines.