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.

Application Developer - AI Trainer

Company: DataAnnotation

Location: Los Angeles, CA

Posted May 02, 2025

A bachelor’s degree (completed or in progress). Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python…

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Lead Custodian

Company: Cal State University (CSU) San Jose

Location: San Jose, CA

Posted May 02, 2025

Out of state candidates selected for the position must obtain a State of California driver's license within 10 days of hire in accordance with the California…

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HVAC/R Service Technician - Light Commercial

Company: CoolSys

Location: San Diego, CA

Posted May 02, 2025

Sr, senior, Service Tech, refridgeration, HVAC, refrigeration, HVAC-R, HVAC/R, diagnostic, commercial, service, install, mechanical, mechanic, apprentice, AC,…

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acute care facility research

Staff Nurse II SH

Company: Kaiser Permanente

Location: San Leandro, California

Posted May 05, 2025

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acute care facility part time research

Staff Nurse II - Wound Ostomy Part Time Day Shift

Company: Kaiser Permanente

Location: San Jose, California

Posted May 04, 2025

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Staff AI/ML Engineer - Onboard Embodied AI

Company: General Motors

Location: Mountain View, CA

Posted May 03, 2025

We leverage modern end-to-end machine learning approaches with sophisticated neural networks trained from large-scale driving data and using state - of - the -…

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acute care facility research

Staff Nurse II

Company: Kaiser Permanente

Location: San Leandro, California

Posted May 05, 2025

View Details Apply on healthecareers.com

Data Scientist

Company: Venmo

Location: San Jose, CA

Posted May 06, 2025

Bachelor’s/Master’s degree in a quantitative field (such as Analytics, Statistics, Mathematics, Economics or Engineering) or equivalent field experience.

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acute care facility research

Staff Nurse II

Company: Kaiser Permanente

Location: San Leandro, California

Posted May 04, 2025

View Details Apply on healthecareers.com

Special Education Teacher Mild/ Moderate

Company: Kinship Academy

Location: San Jose, CA

Posted May 05, 2025

Write and manage IEPs, track student progress, and communicate with families and staff. Develop and customize instruction to fit student needs.

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hospital

EEG Technician

Company: Kaiser Permanente

Location: San Marcos, California

Posted May 04, 2025

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Calling All Dynamic Toddler and Twos Teachers with ECE units!!! We Want To Meet You!!

Company: Kindercare Learning Centers

Location: San Diego, CA

Posted May 05, 2025

Plan and facilitate engaging activities that promote physical, cognitive, and social-emotional development. Create and implement age-appropriate lesson plans…

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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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