Machine Learning Jobs in San Francisco, CA

294,979 open positions · Updated daily

Looking for Machine Learning jobs in San Francisco, CA? Browse our curated listings with transparent salary information to find the perfect Machine Learning position in the San Francisco, CA area.

Senior Machine Learning Operations (MLOps) Engineer

Company: Bonfy.AI

Location: Mountain View, CA

Posted Jul 23, 2025

You will also work with models and customize prompts, write pre- and post-processing methods to improve accuracy and speed (production coded), and implement new…

Cybersecurity Analyst I

Company: Relativity Space

Location: Long Beach, CA

Posted Jul 23, 2025

You'll support every function across the company, from the production floor to flight operations, enabling Relativity's world-class team to design, build, and…

Analyst Financial Services 3

Company: Integrity Trade Services

Location: San Antonio, TX

Posted Jul 23, 2025

Active learning the fundamental concepts, practices and procedures of a particular field of specialization. Bachelor’s degree in Business Administration with…

Senior Marketing Manager

Company: Intuit

Location: San Diego, CA

Posted Jul 23, 2025

Strong data analysis skills, with experience in hypothesis driven testing, test result analysis and making recommendations.

Lead Banquet Chef/Cook - Hornblower - San Diego

Company: Hornblower

Location: San Diego, CA

Posted Jul 23, 2025

Valid Driver license a plus. Working and collaborating with Vessel operations crew and front of house team to satisfy 100% of our guests.

Senior Machine Learning Engineer

Company: Bonfy.AI

Location: Mountain View, CA

Posted Jul 23, 2025

Experience using or building tools that evaluate the behavior of language models (LLMs). You understand that trust in AI must be demonstrated through evidence,…

Staff Business Data Analyst

Company: Intuit

Location: Mountain View, CA

Posted Jul 23, 2025

Drive automation of BI analytics tasks using world class AI-powered solutions to answer first order questions, increasing the ability to self-serve.

Staff Business Data Analyst

Company: Intuit

Location: San Diego, CA

Posted Jul 23, 2025

Drive automation of BI analytics tasks using world class AI-powered solutions to answer first order questions, increasing the ability to self-serve.

Senior Data Scientist, AI Foundations

Company: Capital One

Location: San Jose, CA

Posted Jul 23, 2025

A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative…

Machinist A - 1st shift

Company: Eaton

Location: Los Angeles, CA

Posted Jul 23, 2025

Uses measuring tools, air gauges, micrometers and other inspection tools to verify part quality. Inspects parts for quality and appropriate tolerance using the…

Data Analyst

Company: Opportunity Home San Antonio

Location: San Antonio, TX

Posted Jul 23, 2025

Achieve expert knowledge of all data tools and develop training materials for department staff. Responds to inquiries from management in order to answer general…

Program Manager 6.2025

Company: MEXICAN AMERICAN OPPORTUNITY FOUNDATION

Location: Commerce, CA

Posted Jul 23, 2025

Collaborate with the Staff Development Specialist to develop and implement targeted staff training aligned with curriculum, center, and program needs.

Frequently Asked Questions

What are typical salary ranges for ML roles at different seniority levels?
Junior ML Engineers earn $90k–$120k annually, mid‑level engineers $120k–$160k, senior engineers $160k–$220k, and lead or principal ML roles can reach $220k–$300k+. In large tech firms, the upper end can exceed $350k when including equity, while early‑stage startups may offer lower base but higher stock options.
What skills and certifications are required for ML positions?
Core expertise includes Python, Jupyter, TensorFlow, PyTorch, scikit‑learn, and SQL. MLOps proficiency with Docker, Kubernetes, and cloud services (AWS SageMaker, GCP AI Platform, Azure ML) is essential for production roles. Certifications such as TensorFlow Developer, AWS Certified Machine Learning – Specialty, and Google Cloud Professional Machine Learning Engineer can validate knowledge and accelerate hiring.
Are ML jobs available for remote work?
Yes, many ML positions are fully remote or hybrid. Companies like Scale AI, Databricks, and Cohere offer remote‑first policies. Remote work requires high‑speed internet, secure VPN access, and collaboration via tools like JupyterHub, Slack, and Asana, but it also expands the geographic talent pool.
What career progression paths exist in ML?
Typical paths start as ML Engineer or Data Scientist, advance to Senior ML Engineer, Lead Data Scientist, or Research Scientist, then transition into managerial roles such as ML Manager, Director of AI, or VP of Data & AI. Progression hinges on building a strong portfolio, publishing research, mentoring junior teammates, and mastering cross‑functional skills like product strategy and ethics.
What are current industry trends shaping ML careers?
Edge AI and federated learning are driving demand for on‑device models; AutoML platforms reduce time to deployment; responsible AI frameworks (e.g., IBM AI Fairness 360) shape compliance roles; reinforcement learning is expanding into robotics; and interpretability tools like SHAP and LIME are becoming standard in regulated sectors such as finance and healthcare.

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