Staff Machine Learning Engineer

Join EvenUp as a Staff Machine Learning Engineer and help shape the technical direction of our proprietary claims-intelligence platform, Piai™. In this technical leadership role, you will set the modeling strategy, tackle complex modeling problems, and drive data excellence. You will also provide mentorship to the ML team and act as a bridge between research and production. This position offers flexible working hours, a variety of virtual team events, and a range of benefits including medical, dental, and vision insurance, flexible paid time off, and a 401k for US-based employees.

• Set technical strategy for a broad area of the ML roadmap, translating ambiguous business and research goals into scoped, production-ready systems.
• Tackle the hardest modeling problems in the organization, applying advanced ML techniques and establishing rigorous evaluation standards.
• Provide technical leadership and mentorship across the ML team, raising the bar for experimentation, benchmarking, and engineering rigor.
• Demonstrated ability to set technical strategy and drive execution in ambiguous, fast-moving environments
• A track record of mentoring engineers and raising technical standards beyond your own output
• Experience partnering directly with Product and Engineering leadership, not just executing their asks
• 7+ years of hands-on ML engineering experience, with multiple models shipped and running in production
• High proficiency in Python and strong command of modern ML/NLP frameworks
• Deep expertise in ML and NLP, including LLMs, with a track record of solving hard modeling problems - not just applying existing recipes
• Open to remote candidates or 3 days a week hybrid from our Toronto or San Francisco hubs
• PhD in Machine Learning, Computer Science, or a related quantitative field
• Experience with document understanding, entity/relationship extraction, or structured extraction from unstructured text
• Experience with LLM fine-tuning techniques (LoRA, QLoRA, RLHF/RLVR) or advanced prompt engineering
• Experience in a high-growth startup environment