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.

Registered Nurse

Company: DAVITA

Location: San Diego, CA

Posted Aug 21, 2025

Comprehensive benefits: Medical, dental, vision, 401(k) match, paid time off, PTO cash out. Associates Degree in Nursing (A.D.N) from accredited school of…

Registered Nurse, Pediatric CVICU

Company: CHRISTUS Health (IHE/Hosted)

Location: San Antonio, TX

Posted Aug 21, 2025

Continues to develop the ability to cope with and manage contingencies of clinical nursing. Addresses increasingly complex psychological, emotional, cultural,…

Preschool Nutritionist/Cook/Chef

Company: Kinder Mission

Location: San Diego, CA

Posted Aug 21, 2025

Assesses risks and uses emergency procedures as required. Develop and implement a professional development plan. Engage in ongoing self-assessment.

Teacher - SDC ESN 4th - 6th - Zanker Elementary School - 010556

Company: Milpitas Unified School District

Location: Milpitas, CA

Posted Aug 21, 2025

A valid California driver=s license. Evaluate each student=s social and academic needs and develop and Individual Educational Program (IEP).

Data Scientist

Company: Prodege LLC

Location: El Segundo, CA

Posted Aug 21, 2025

A Master’s degree in a technical or quantitative field is preferred. The individual must effectively automate data processes, integrate external data sources,…

AI/Data Engineer – Software Supply Chain Security

Company: Oteemo, Inc

Location: San Antonio, TX

Posted Aug 21, 2025

Proficiency with AI/ML or data science tools (Python, Pandas, or similar). Drive: Passion and energy to implement quality technical solutions.

DevOps Engineer

Company: Zoom

Location: San Jose, CA

Posted Aug 21, 2025

Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed. Carry experience with AWS cloud infrastructure.

Custodian (Nights) - Full-Time

Company: The DoSeum

Location: San Antonio, TX

Posted Aug 21, 2025

*Dependability *- Follows instructions, responds to management direction; Takes responsibility for own actions. High school diploma or G.E.D.

Bing Teacher 2

Company: Stanford University

Location: Stanford, CA

Posted Aug 21, 2025

Two years of experience teaching in the field of Early Childhood Education. Plan and implement creative and challenging curriculum projects and activities in…

Custodian (Days)

Company: The DoSeum

Location: San Antonio, TX

Posted Aug 21, 2025

*Dependability *- Follows instructions, responds to management direction; Takes responsibility for own actions. High school diploma or G.E.D.

Head Custodian, Floater (Immediate Opening)

Company: San Antonio Independent School District

Location: San Antonio, TX

Posted Aug 21, 2025

Valid Texas driver’s license with good driving record (meet and maintain liability coverage eligibility). Grounds equipment and tools: riding and power mower,…

Site Reliability Engineer

Company: Yoh, A Day & Zimmermann Company

Location: Glendale, CA

Posted Aug 21, 2025

Master’s degree in Computer Science or related field. Design & Architect – Lead planning and architecture discussions, design resilient platforms, and define…

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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