Founding ML Engineer — Own Production ML for EV Marketplace

Stealth Startup; San Francisco (CA); On-site; USD 200,000 - 240,000; Full time

Benefits offered by this job

Equity

Ownership impact

Job summary

Stealth Startup in San Francisco is seeking a Machine Learning Engineer to build, ship, and run the models behind our AI-powered marketplace. You’ll own data and features, training, evaluation, deployment, and monitoring end-to-end, partnering with product and data teams to shape our ML platform as we scale.

You will work with modern ML frameworks, own end-to-end production workflows, and contribute to a fast-growing team from day one.

Qualifications

• 3+ years of hands-on ML/AI production experience.
• Track record of shipping models or ML services to production.
• Strong Python programming in production ML work.
• Experience with PyTorch, TensorFlow, or scikit-learn, plus feature pipelines and model serving.
• Based in the San Francisco Bay Area and onsite in San Francisco.
• Bachelor's degree in Computer Science or related field.
• History of sustained ownership in prior roles (multi-year tenure preferred).

Responsibilities

• Design, train, and deploy ML models powering core marketplace experiences.
• Build and maintain production ML services and pipelines.
• Develop AI features that add value for buyers and sellers.
• Own model quality in production: evaluation, retraining, and reliability.
• Help set ML engineering standards and tooling for a fast-moving team.

Skills

Python

Production ML

PyTorch

TensorFlow

scikit-learn

ML pipelines

Model serving

Education

Bachelor's degree in Computer Science or closely related field

Tools

PyTorch

TensorFlow

scikit-learn

Job description

Stealth Startup in San Francisco is seeking a Machine Learning Engineer to build, ship, and run the models behind our AI-powered marketplace. You’ll own data and features, training, evaluation, deployment, and monitoring end-to-end, partnering with product and data teams to shape our ML platform as we scale.

You will work with modern ML frameworks, own end-to-end production workflows, and contribute to a fast-growing team from day one.