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.

CNC Machinist IV

Company: Accelera

Location: El Cajon, CA

Posted May 21, 2025

Ability to set up fixtures, cutting tools, and use measuring devices (calipers, micrometers, bar gauges). You'll interpret specifications, make adjustments, and…

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acute care facility research

Staff Nurse II SH (PICC)

Company: Kaiser Permanente

Location: San Rafael, California

Posted May 18, 2025

View Details Apply on healthecareers.com
continuing education credits dental insurance health insurance

Board-Certified/Board-Eligible Dermatologist

Company: California Skin Institute

Location: San Jose, California

Posted May 18, 2025

View Details Apply on healthecareers.com

Data Analyst, Finance

Company: NVIDIA

Location: Santa Clara, CA

Posted May 21, 2025

Collaborate within Finance and cross-functional teams (e.g., FP&A, Accounting, Procurement, Treasury, Ops, Sales Ops) to define reporting requirements, document…

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acute care facility full time hospital

Staff Nurse II SH

Company: Kaiser Permanente

Location: San Leandro, California

Posted May 19, 2025

View Details Apply on healthecareers.com

Warehouse Forklift Operator

Company: fgf brands

Location: San Antonio, TX

Posted May 20, 2025

We have an entrepreneurial spirit that encourages all our Team Members to use their own creativity and out-of-the-box thinking to come up with solutions and new…

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acute care facility research

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

Company: Kaiser Permanente

Location: San Leandro, California

Posted May 18, 2025

View Details Apply on healthecareers.com

Senior Optical packaging design engineer

Company: APPLIED MATERIALS

Location: Santa Clara, CA

Posted May 19, 2025

You are also expected to design / develop multi-fiber optical connectors and work with external vendors to develop connector eco-system.

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E-Commerce Lead - Kohler Ventures

Company: Kohler

Location: Palo Alto, CA

Posted May 19, 2025

Monitor the integration of e-commerce platforms and third-party tools (payments gateways) and escalate any performance concerns to the software team.

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Integrated Marketing Communications Lead - Kohler Ventures

Company: Kohler

Location: Palo Alto, CA

Posted May 19, 2025

Stay up to date with industry developments, wellness trends, social media trends, tools and applications. You will be responsible for developing and executing…

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full time hospital

LVN - Retail

Company: Kaiser Permanente

Location: San Clemente, California

Posted May 19, 2025

View Details Apply on healthecareers.com

Plumber

Company: San Jose State University

Location: San Jose, CA

Posted May 18, 2025

Under general supervision of the Supervising Plumber, the Plumber works independently or as a team member to perform the full range of skilled plumbing work…

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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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