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.

RN, Registered Nurse-Stone Oak Surgery Center

Company: Christus Health

Location: San Antonio, TX

Posted Jul 14, 2025

Continues to develop the ability to cope with and manage contingencies of clinical nursing. RN License in state of employment or compact.

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CLC Nursing Assistant

Company: Department of Veterans Affairs - Veterans Health Administration

Location: San Francisco, California

Posted Jul 13, 2025

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CYP Training & Curriculum Specialist

Company: Department of the Navy - Commander, Navy Installations

Location: San Diego, California

Posted Jul 14, 2025

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Nursing Assistant - (5A Acute Care)

Company: Department of Veterans Affairs - Veterans Health Administration

Location: San Antonio, Texas

Posted Jul 14, 2025

View Details Apply on usajobs.gov

Retail Sales Associate (UTC La Jolla)

Company: Nespresso

Location: San Diego, CA

Posted Jul 14, 2025

Nespresso offers retail employees performance-based incentives and a total rewards package, which includes a free Nespresso machine and coffee product allowance…

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CYP Child and Youth Program Training and Curriculum Specialist

Company: Department of the Navy - Commander, Navy Installations

Location: Point Loma Complex, San Diego, California

Posted Jul 14, 2025

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hospital per diem overtime

Temporary Seasonal Emergency Dept RN

Company: Kaiser Permanente

Location: San Marcos, California

Posted Jul 14, 2025

View Details Apply on healthecareers.com

Manager, Software Engineering

Company: Disney Entertainment and ESPN Product & Technology

Location: Glendale, CA

Posted Jul 14, 2025

BS in Computer Science, or a related quantitative field; or equivalent practical experience demonstrating advanced technical expertise and proven leadership…

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Accountant/Senior Accountant

Company: State Bar of California

Location: Los Angeles, CA

Posted Jul 13, 2025

Principles of data analysis and research tools. Reviews the work of external accountants in their role as agents of the State Bar, ensuring agreed-upon…

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FFSP Family Advocacy Program Victim Advocate

Company: Department of the Navy - Commander, Navy Installations

Location: San Diego, California

Posted Jul 14, 2025

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acute care facility research

Staff Nurse II - San Leandro ICU (Evening/24)

Company: Kaiser Permanente

Location: San Leandro, California

Posted Jul 13, 2025

View Details Apply on healthecareers.com
acute care facility research

Staff Nurse II - Emergency Department

Company: Kaiser Permanente

Location: San Leandro, California

Posted Jul 14, 2025

View Details Apply on healthecareers.com

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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