About this opportunity
Stealth Startup lists this Founding Machine Learning Engineer opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Machine Learning Engineer - Stealth Startup, San Francisco
Employment type: Full-time
About us
We're an early-stage San Francisco startup building an AI-powered marketplace for electric vehicles. We're using machine learning to make buying and selling EVs simpler, faster, and more transparent, and we're hiring engineers who want to own real production systems from day one.
The role
As a Machine Learning Engineer, you'll build, ship, and run the models and ML services behind our marketplace. You'll own work end to end: data and features, training, evaluation, deployment, and monitoring in production. You'll work closely with product, data, and full-stack engineers, and you'll have a direct hand in shaping our ML platform as we grow.
What you'll do
Design, train, and deploy ML models that power core marketplace experiences, such as search, ranking, recommendations, pricing, and AI-assisted product features
Build and maintain production ML services and pipelines, including feature pipelines, model serving, and monitoring
Build applied AI and LLM-powered product features where they add real value for buyers and sellers
Own model quality in production: evaluation, experimentation, retraining, and reliability
Help set ML engineering standards and tooling for a small, fast-moving team
What we're looking for (required)
3+ years of hands-on experience as an ML/AI engineer building production ML systems (not research-only)
A track record of shipping models or ML services to production and owning them after launch
Strong Python, used in production ML/AI work
Hands-on experience with modern ML frameworks and tooling (for example PyTorch, TensorFlow, or scikit-learn), plus feature pipelines and model serving
Based in the San Francisco Bay Area and able to work onsite in San Francisco
Bachelor's degree in Computer Science or a closely related technical field
A history of sustained ownership in prior roles (multi-year tenure preferred)
Nice to have
6-12 years of relevant engineering experience
Experience with marketplaces, recommendations, search, or ranking systems
Experience building LLM or applied AI product features
Experience in automotive, EV, or mobility products
Degree from a top computer science program
What we offer
Base salary of $200,000 - $240,000, plus equity
High ownership and direct impact at an early-stage company
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.