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.

Financial Advisor - Career Change Opportunity

Company: Edward Jones

Location: Hollister, CA

Posted Feb 08, 2025

View Details Apply on The Muse

Data Scientist III, ML and Business Intelligence Engineering

Company: Walmart

Location: Sunnyvale, CA

Posted Feb 08, 2025

View Details Apply on The Muse
sign-on bonus hospital part time

Occupational Therapist (Pool)

Company: Encompass Health

Location: San Angelo, Texas

Posted Feb 08, 2025

View Details Apply on healthecareers.com

Senior Software Engineer, Critical Harms

Company: Roblox

Location: San Mateo, CA

Posted Feb 08, 2025

View Details Apply on The Muse
hospital telemedicine travel

staff - Registered Nurse (RN) - Hospice - $72K-90K per year

Company: Gentiva

Location: San Diego, California

Posted Feb 11, 2025

View Details Apply on healthecareers.com

Supervisor BSA/AML Analysis & Risk - AML Investigations Preferred

Company: Navy Federal Credit Union

Location: San Diego, CA

Posted Feb 08, 2025

View Details Apply on The Muse

Software Engineering Manager - Surface Coverage

Company: Meta

Location: Menlo Park, CA

Posted Feb 08, 2025

View Details Apply on The Muse

Retail Sales Supervisor

Company: Staples

Location: Ontario, CA

Posted Feb 08, 2025

View Details Apply on The Muse

Early Childhood Teacher - Toddlers through Pre-K

Company: Temple Solel Early Childhood Center

Location: Cardiff-by-the-Sea, CA

Posted Feb 10, 2025

Working with your partner teacher on planning and structuring daily activities to facilitate children's social, emotional, physical, and intellectual…

View Details Apply on SimplyHired

Modeling Software Engineer

Company: Apple

Location: Cupertino, CA

Posted Feb 08, 2025

View Details Apply on The Muse

Senior Field Solutions Engineer

Company: Cloudflare

Location: San Francisco, CA

Posted Feb 08, 2025

View Details Apply on The Muse
loan repayment program hospital part time

staff - Registered Nurse (RN) - Float Resource - $28-38 per hour

Company: HCA Methodist Healthcare of San Antonio

Location: San Antonio, Texas

Posted Feb 11, 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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