Machine Learning Jobs in San Francisco, CA

295,018 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.

(USA) Software Engineer III

Company: Walmart

Location: Sunnyvale, CA

Posted Feb 07, 2025

View Details Apply on The Muse

Manager, Value Added Tax

Company: Deloitte

Location: San Francisco, CA

Posted Feb 07, 2025

View Details Apply on The Muse

Lifecycle Marketing Specialist

Company: Quizlet

Location: San Francisco, CA

Posted Feb 07, 2025

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Preschool Teacher

Company: Scoot Education

Location: Los Angeles, CA

Posted Feb 07, 2025

We listen to your preferences and provide you with a consultant and ongoing training support to help continue to develop your skills.

View Details Apply on SimplyHired

Public Affairs Manager, Strategic Response

Company: Meta

Location: Menlo Park, CA

Posted Feb 07, 2025

View Details Apply on The Muse

Business Technology Solutions Associate - Intern (North America - University Students)

Company: ZS

Location: South San Francisco, CA

Posted Feb 07, 2025

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Senior Billing Engineering Manager

Company: Cloudflare

Location: San Francisco, CA

Posted Feb 07, 2025

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Network Quantitative Engineer

Company: Meta

Location: Menlo Park, CA

Posted Feb 07, 2025

View Details Apply on The Muse

Veterinary Assistant

Company: Banfield Pet Hospital

Location: Modesto, CA

Posted Feb 07, 2025

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Backroom Associate - Sam's Club

Company: Walmart

Location: Redlands, CA

Posted Feb 07, 2025

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Content Manager

Company: Meta

Location: San Francisco, CA

Posted Feb 07, 2025

View Details Apply on The Muse

Principal Product Manager (Reporting/Investigation)

Company: Palo Alto Networks

Location: Santa Clara, CA

Posted Feb 07, 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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