Machine Learning Jobs in San Francisco, CA

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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.

2nd Shift Machining Tech III, Davenport

Company: Howmet Aerospace

Location: Torrance, CA

Posted May 08, 2025

Our products are also critical components of industrial gas turbines, automobiles, commercial transportation vehicles, and construction and industrial equipment…

Sr Cabinet Builder

Company: Greenpoint Technologies

Location: San Antonio, TX

Posted May 09, 2025

NOTE: Although the company provides some tools, the production of Aerospace Interiors is a highly developed skill that requires many personal tools enabling an…

Clinical Nurse Manager/Supervisor (RN) Home Health

Company: HealthFlex Home Health Services

Location: San Jose, CA

Posted May 10, 2025

Collaborates with the clinical leadership team in the formulation, revision, implementation, and evaluation of policies and procedures, as well as strategic…

Data Scientist

Company: Venmo

Location: San Jose, CA

Posted May 10, 2025

Bachelor’s/Master’s degree in a quantitative field (such as Analytics, Statistics, Mathematics, Economics or Engineering) or equivalent field experience.

Machinist

Company: General Atomics and Affiliated Companies

Location: San Diego, CA

Posted May 09, 2025

Typically requires an associate's degree, technical/trade school training or equivalent and seven or more years related experience. Clean machine and work area.

Operating Room Registered Nurse III- Full-Time 0630-1500

Company: UT Health Science Center at San Antonio

Location: San Antonio, TX

Posted May 08, 2025

Current Texas Board of Nursing (or Compact State) RN license Or Temporary TX License (Permanent license to be obtained within 90 days of hire).

Janitor / Grounds Keeper

Company: Tronson Manufacturing, Inc

Location: Fremont, CA

Posted May 09, 2025

Comfortable working around machines, tools, and industrial settings. Clean restrooms, break rooms, and common areas. Empty trash bins and replace liners.

Machine Operator

Company: Pacific Seafood

Location: San Antonio, TX

Posted May 10, 2025

Comply with plant security by following establishes controls; report any suspicious activities to your Supervisor immediately.

Machinist

Company: General Atomics and Affiliated Companies

Location: San Diego, CA

Posted May 09, 2025

Typically requires an associate's degree, technical/trade school training or equivalent and four or more years related experience. Clean machine and work area.

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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