Ensure our AI coach performs reliably in production and continuously improves over time
Requirements
Strong Python skills
Solid software engineering fundamentals
you ship production code, not just prototypes
Experience building AI agents
tool orchestration, multi-step workflows, context management, retrieval systems
Experience building recommendation or scoring systems on structured data
collaborative filtering, calibration, rule-based systems, or hybrid approaches
Strong analytical instincts
you can define what 'correct' means for a subjective recommendation, design metrics that reflect user experience, and spot when a metric is lying to you
You've fine-tuned or distilled language models to hit cost and latency targets
You know how to make retrieval work
embeddings, vector search, and semantic similarity
Experience with classification and regression on structured data
user health signals are messy and continuous
Ready to learn a new domain deeply
you'll pick up exercise physiology, recovery science, and training principles on the job
Nice to have skills: experience building multi-agent systems, background in health, fitness, or wellness, experience with active learning or human-in-the-loop workflows, experience with time-series analysis or forecasting (fitness data is mostly sequences over time), background in ML ops
model versioning, serving infrastructure, pipeline orchestration
Tech Stack
Python
Benefits
Be part of the fastest-growing fitness and lifestyle startup
Help shape the internal engine of one of the most exciting AI consumer products
Excellent work environment: the company is small enough to be person-oriented
Remote-friendly environment with the option to collaborate in-person