Machine Learning Jobs in San Francisco, CA

295,247 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.

clinic hospital contract

Staff - Registered Nurse (RN) - Clinic Director ED - Emergency Department - $196K-253K per year

Company: Kaiser Permanente

Location: San Jose, California

Posted Feb 04, 2025

View Details Apply on healthecareers.com
acute care facility research

Level II Registered Nurse (RN) - Labor and Delivery - $81-96 per hour

Company: Kaiser Permanente

Location: San Jose, California

Posted Feb 05, 2025

View Details Apply on healthecareers.com

Software Engineer - Customer Feedback

Company: Apple

Location: Cupertino, CA

Posted Feb 04, 2025

View Details Apply on The Muse
research travel

Travel Nurse RN - Labor and Delivery - $2,269 per week

Company: TalentBurst, Inc

Location: San Antonio, Texas

Posted Feb 05, 2025

View Details Apply on healthecareers.com
part time holidays health insurance

PART-TIME Dental Hygienist

Company: San Antonio Dental Care

Location: San Antonio, Florida

Posted Feb 05, 2025

View Details Apply on healthecareers.com
clinic research

Staff - Level II Registered Nurse (RN) - NICU - Neonatal Intensive Care - $81-96 per hour

Company: Kaiser Permanente

Location: San Francisco, California

Posted Feb 05, 2025

View Details Apply on healthecareers.com
acute care facility research

Level II Registered Nurse (RN) - Labor and Delivery - $81-96 per hour

Company: Kaiser Permanente

Location: San Jose, California

Posted Feb 05, 2025

View Details Apply on healthecareers.com

Reliability Engineer

Company: Apple

Location: Los Angeles, CA

Posted Feb 06, 2025

View Details Apply on The Muse

Casino Customer Service Gaming Associate

Company: Knighted Ventures

Location: Bell Gardens, CA

Posted Feb 04, 2025

Ability to pass a lifetime background check, credit check, and drug screen for state licensure. Knighted Ventures and similar organizations are regulated by the…

View Details Apply on SimplyHired

Retail Print Sales Specialist

Company: Staples

Location: Paramount, CA

Posted Feb 06, 2025

View Details Apply on The Muse

Business Operations Manager, Reality Labs Finance

Company: Meta

Location: Menlo Park, CA

Posted Feb 04, 2025

View Details Apply on The Muse

Project Supervisor (CAT Team)

Company: Restoration Management Company

Location: Riverside, CA

Posted Feb 06, 2025

View Details Apply on The Muse

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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