Senior Machine Learning Scientist

SweatpalsRemoteEngineering

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Opens the official Sweatpals careers page

Salary

Not listed

Job type

Full-time

Work mode

Remote

Posted

29 May 2026

Status

Open · checked 7d ago

About this role

Role Overview

The Senior Machine Learning Scientist position at Sweatpals is a remote, full-time opportunity to lead ambitious machine learning initiatives within the engineering department. This role suits an experienced practitioner who wants to own the end-to-end lifecycle of production models that directly impact marketplace growth and user discovery. Working closely with the Head of AI, product, and engineering teams, the chosen candidate will build upon existing systems such as semantic search, event tagging, retention models, and LLM-powered assistant tools.

Key Responsibilities

Translate ambiguous product objectives into structured machine learning problems, selecting appropriate methodologies from ranking and classification to LLM agents and classical statistics.

Manage the complete lifecycle of models, covering data exploration, offline evaluation, prototyping, online experimentation, and iterative improvements.

Collaborate with the engineering division to deploy models to production using FastAPI, PostgreSQL, BigQuery, AWS App Runner, FAISS, sentence-transformers, and managed LLM APIs.

Develop agentic systems and features across host tools and consumer-facing surfaces involving retrieval-augmented generation (RAG), tool use, structured outputs, and evaluation loops.

Partner with product, growth, and data analytics teams to measure marketplace impact rigorously beyond standard click-through rates.

Requirements

Bring five or more years of applied machine learning experience focused on shipping models to production environments.

Demonstrate a strong command of Python and SQL for writing production-grade code rather than relying solely on notebooks.

Possess solid foundations in at least one key machine learning domain, such as ranking systems, natural language processing, embeddings, or causal inference.

Show practical knowledge of modern LLM tooling, experiment design, statistical analysis, and evaluation metrics.

Hold an advanced degree in computer science, machine learning, statistics, or a related discipline.

Nice to Have

Previous professional background working within marketplaces, search applications, or recommendation platforms.

Familiarity with the specific technology stack utilized by Sweatpals, including AWS, BigQuery, FAISS, and sentence-transformers.

An academic background featuring a PhD or active research experience.

Skills and Tools

Python

SQL

AWS

LLM

NLP

RAG

FastAPI

PostgreSQL

BigQuery

FAISS

Sentence-Transformers

About the Company

Sweatpals operates as a community-first fitness platform designed to transform regular workouts into engaging social experiences for users, event hosts, and gym operators. Supported by prominent backers including a16z speedrun, Patron, Kevin Hart, Pear VC, and notable tech founders, the organization connects hundreds of thousands of participants through memberships, events, and social features. Functioning as an AI-forward workplace, the team values diversity of thought, active leadership, resilience, a willingness to handle hands-on tasks, and a commitment to high standards.

How to Apply

Interested candidates should visit the official Sweatpals careers page to submit their application.

Skills and tech stack

Python SQL AWS LLM NLP RAG

Questions candidates ask

Is this position remote?

Yes, this role is remote-friendly with an emphasis on EU timezone alignment.

What level of experience is required?

Applicants must have five or more years of applied machine learning experience shipping models into production.

What technology stack does the machine learning team use?

The ML stack includes Python, SQL, FastAPI, PostgreSQL, BigQuery, AWS App Runner, FAISS, sentence-transformers, and managed LLM APIs like Claude and Gemini.

Who does this role report to?

The Senior Machine Learning Scientist reports directly to the Head of AI.

What types of AI projects will I work on?

Projects include optimizing event ranking, forecasting user churn, refining dynamic pricing for classes, and developing reliable LLM agent systems like HostCopilot and the AI Concierge.

Ready to apply?

The application is on the official Sweatpals careers page.

Apply on company site