AI / ML Engineer Jobs in San Francisco

83 positions available in CA. VC capital with 380K+ startups, fintech, and AI-first tech roles

Senior Staff Forward Deployed AI Engineer, Enterprise

Scaleai • San Francisco, CA; New York, NY

onsite

Software Engineer, Machine Learning Platform

Chime • San Francisco, CA, USA

remote

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Technical Program Manager III, Machine Learning, Google Cloud

Google • San Francisco, CA, US

onsite
163000K - 237000K

Sales AI Engineer

Figma • San Francisco, CA • New York, NY • United States

remote

Sr. Staff AI/ML Engineer

Gusto • Denver, CO;San Francisco, CA;New York, NY

hybrid

Senior Staff AI Engineer

Sofi • CA - San Francisco

remote

Related Roles in San Francisco

Backend Developer Mobile Developer Product Manager Scrum Master

AI / ML Engineer in Other Cities

Austin (TX) San Jose (CA) Seattle (WA) Denver (CO)

What Does a AI / ML Engineer Do?

AI/ML engineers develop machine learning models and AI systems that learn from data to make predictions or decisions. They work on model architecture, training, optimization, and deployment to production systems.

AI / ML Engineer Salary in San Francisco

The median salary for a AI / ML Engineer in San Francisco is $149,067 per year. The range is $113K - $196K (P10: $84,193, P90: $254,706). (BLS OEWS 2025) Typical US salary range: $110K - $180K. In Europe: €75K - €120K. Cost of living in San Francisco is very high compared to other cities.

Most In-Demand Skills

Python TensorFlow/PyTorch Machine Learning Theory NLP/Computer Vision Model Optimization LLM Fine-tuning

The San Francisco Job Market

VC capital with 380K+ startups, fintech, and AI-first tech roles. SF dominates venture funding and AI innovation despite post-pandemic talent shifts, with salary premiums reflecting prestige.

Top industries: Venture Capital, Fintech, Artificial Intelligence, Cloud Computing.

BART and Muni provide public transit; remote-first culture has transformed commute dependency since 2020.

Career Path & 2026 Trends

AI/ML engineers advance to senior ML engineer, research engineer, or ML platform architect; many pursue specialization in specific domains like NLP or computer vision. AI/ML engineering in 2026 is dominated by generative AI, with massive demand for engineers who can fine-tune and deploy LLMs in production environments.

Interview Tip

Walk through your model development lifecycle—discuss data preparation, model selection, hyperparameter tuning, and evaluation metrics that matter for the business.

How to Find a AI / ML Engineer Job in San Francisco?

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