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.

Machine Operator II-Second Shift

Company: Eaton

Location: Camarillo, CA

Posted Feb 04, 2025

View Details Apply on The Muse

Food Service Team Leader - (Chula Vista, CA)

Company: Target

Location: Chula Vista, CA

Posted Feb 04, 2025

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Staff Pharmacist-Ca

Company: Walmart

Location: Wasco, CA

Posted Feb 04, 2025

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Senior Machine Learning Engineer, Account Integrity

Company: TikTok

Location: San Jose, CA

Posted Feb 04, 2025

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Casino Customer Service Gaming Associate

Company: Knighted Ventures

Location: San Jose, 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…

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Teacher at David Weir Preparatory Academy

Company: KinderCare Learning Companies

Location: Fairfield, CA

Posted Feb 04, 2025

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Senior Machine Learning Systems Engineer

Company: Apple

Location: Cupertino, CA

Posted Feb 04, 2025

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AIML - Staff Machine Learning Engineer, Retrieval and Ranking Quality (SII)

Company: Apple

Location: Cupertino, CA

Posted Feb 04, 2025

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Machine Learning Engineer Graduate (Data-Search - TikTok Recommendation - San Jose) - 2025 Start (BS/MS)

Company: TikTok

Location: San Jose, CA

Posted Feb 04, 2025

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Display Module Engineer

Company: Apple

Location: Santa Clara, CA

Posted Feb 04, 2025

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Engineering Director - Apple Data Platform Lakehouse

Company: Apple

Location: Cupertino, CA

Posted Feb 04, 2025

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Property Claims Large Loss Field Adjuster

Company: Liberty Mutual Insurance

Location: San Francisco, CA

Posted Feb 04, 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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