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.

Preschool Teacher

Company: Action Day Schools

Location: San Jose, CA

Posted Aug 02, 2025

New Hire Welcome Workshop, Teacher In-Service Staff Development Days, CPR/First Aid certification course offerings & more.

Labor Compliance & Local Hiring Administrator

Company: Pride Resource Partners LLC

Location: Los Angeles, CA

Posted Aug 02, 2025

Provide guidance and technical support to contractors and staff on labor compliance procedures and requirements. Strong organizational and documentation skills.

Machine Learning Engineer Graduate (Monetization GenAI) - 2026 Start (BS/MS)

Company: TikTok

Location: San Jose, CA

Posted Aug 02, 2025

Research, implement and evaluate novel machine learning algorithms on generative models; 3. Collaborate with applied machine learning teams and infrastructure…

Senior Linux Systems and Automation Engineer

Company: General Dynamics Mission Systems, Inc

Location: San Antonio, TX

Posted Aug 02, 2025

Proficiency in systems engineering concepts and tools. Engage in research and data analysis to choose the best standards and tools for system development.

Oceanographic Technician & Data Analyst

Company: UC San Diego

Location: San Diego, CA

Posted Aug 02, 2025

Keeps abreast of new technologies for physical and chemical analysis of sea water and develop new methodologies for use on research ships, software and…

Machinist CNC and Manual

Company: Fabric8Labs

Location: San Diego, CA

Posted Aug 01, 2025

Read and interpret *engineering drawings, CAD models, and technical documentation* to machine custom parts to tight tolerances. San Diego, CA 92121 (Required).

Concrete Carpenter

Company: Texas Sterling Construction

Location: San Antonio, TX

Posted Aug 01, 2025

2-5 years of experience in concrete carpentry and pouring concrete. Constructing built-in-place or prefabricated wooden and/or metal forms according to…

AI Data Scientist, Manager

Company: Deloitte

Location: San Antonio, TX

Posted Aug 02, 2025

The team consults and executes on a wide range of initiatives involving process and tool development and implementation including training development,…

Marketing Manager

Company: Salt Productions

Location: Los Angeles, CA

Posted Aug 02, 2025

Maintain an internal calendar of key social content opportunities (e.g., event launches, press mentions, team spotlights). Act as liaison with our PR agency.

Toddler Teacher

Company: Action Day Schools

Location: San Jose, CA

Posted Aug 02, 2025

New Hire Welcome Workshop, Teacher In-Service Staff Development Days, CPR/First Aid certification course offerings & more.

Regional Substitute Preschool Teacher

Company: Action Day Schools

Location: San Jose, CA

Posted Aug 02, 2025

Valid teaching certification (12 ECE Units) for Early Childhood Education. Associate’s or Bachelor’s degree in Early Childhood Education or a related field.

Sr Analyst, Data Analytics

Company: paypal

Location: San Jose, CA

Posted Aug 02, 2025

Undergraduate degree in a quantitative (such as Applied Mathematics, Statistics, Engineering or Computer Science) field required and 5+ years related…

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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