Senior Machine Learning Scientist

The role

You will own the machine learning roadmap by defining problems, running science, and shipping models to production. You will work on ranking, retrieval, LLM agents, and predictive models to impact the marketplace.

What you will do

• Frame product problems as ML problems using ranking, retrieval, classification, or LLM agents
• Run end-to-end processes including data exploration, evaluation, prototyping, and online experiments
• Own offline metrics and tie them to online metrics like booking lift and GMV
• Ship models to production using the company ML stack
• Build evaluation harnesses and monitoring for model drift
• Develop LLM-powered features for HostCopilot and Pal-facing surfaces
• Build agentic systems with tool use, RAG, and structured outputs
• Partner with product to size opportunities and translate findings into roadmap decisions
• Partner with growth and data analysts to measure marketplace impact
• Set the bar for the squad on ML rigor

Required qualifications

• 5+ years of applied ML experience shipping models to production
• Track record of taking a problem from vague PM ask to shipped feature
• Comfort with the full lifecycle: framing, data, modeling, evaluation, deployment, monitoring
• Strong Python and SQL
• Solid foundations in at least one ML area: ranking and recommendation systems, NLP and embeddings, classical ML, LLMs and agents, or causal inference
• Comfortable with modern LLM tooling: prompting, RAG, evaluation, tool use, structured outputs
• Practical stats: experiment design, dealing with confounding, knowing when an A/B test is broken
• Advanced degree in ML, CS, stats, or a related field is typical

Nice to have

• Experience in marketplaces, search, or recommendations
• Familiarity with the stack: FastAPI, PostgreSQL, BigQuery, FAISS, sentence-transformers, AWS, Amplitude
• PhD or research background

Benefits

• Ownership
• AI-native culture
• Flexibility: Remote-first, async-friendly, EU timezone
• Competitive salary
• Early-stage equity

Before you apply

• Send your resume or LinkedIn
• Provide a short note answering one ML system you shipped end-to-end and what it changed
• Provide a short note answering a modeling decision you made that was wrong and what you learned

About the company

Sweatpals is a community-first fitness platform turning workouts into social experiences. It connects pals, hosts, and gyms through events, memberships, and social features.