Founding Machine Learning Engineer
Core
Own the machine learning function and shape post-training and agent systems from research through production.
Role type
Founding Machine Learning Engineer
Builds
Post-training ML systems, agent environments, evaluation benchmarks, and data pipelines
Domain
Artificial Intelligence / Machine Learning / Agent Systems
Deliverable
production ML models
Required skills
Python, systems-level software engineering, post-training ML, evaluation frameworks, reinforcement learning, agent environment design, data validation, observability systems
Preferred skills
Bridging research and production, working in ambiguous environments
Technologies
Python
Responsibilities
Structure, filter, and score experimental trajectories for training-data pipelines; Design and implement evaluations and benchmarks for model reasoning and planning; Build agent environments, tool interfaces, and replay infrastructure; Establish validation and provenance tracking for data quality; Lead hiring and provide technical direction as the team scales
Seniority
Founding, hands-on IC
