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.

Housekeeping/EVS Tech - Evening - San Diego

Company: Scripps Health

Location: San Diego, CA

Posted Aug 21, 2025

The housekeeping team performs job functions to support environmental care: (patient care area cleaning, non-patient care area cleaning, linen service, waste…

SailPoint IDAM Analyst

Company: Infosys

Location: Long Beach, CA

Posted Aug 21, 2025

You will play an important role in creating the high-level design artifacts, consulting and providing solutions for multiple IDAM tracks.

Machine Operator

Company: Lyneer Staffing Solutions

Location: Carson, CA

Posted Aug 21, 2025

Use measuring tools such as rulers, scales, and calipers for precision. Experience with measuring tools (ruler, scale, calipers). *Pay:* $20.00 – $25.00.

Housekeeping/EVS Tech - Nights - San Diego

Company: Scripps Health

Location: San Diego, CA

Posted Aug 21, 2025

The housekeeping team performs job functions to support environmental care: (patient care area cleaning, non-patient care area cleaning, linen service, waste…

Machine Operator I

Company: Ultimate Staffing Services

Location: Santa Clara, CA

Posted Aug 21, 2025

For unincorporated Los Angeles county, to the extent our customers require a background check for certain positions, the Company faces a significant risk to its…

Product Engineering Architect

Company: Deloitte

Location: San Antonio, TX

Posted Aug 21, 2025

Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring architectural integrity, feasibility, and alignment with business and…

Data Scientist II - Segmentation Data Science

Company: Disney Direct to Consumer

Location: Santa Monica, CA

Posted Aug 21, 2025

Bachelor’s degree in advanced Mathematics, Statistics, Data Science or comparable field of study. Strong communication skills, for both technical and non-…

Sous Chef

Company: UC San Diego

Location: San Diego, CA

Posted Aug 21, 2025

Decision-making, reasoning, ability to develop original ideas to solve problems, operations analysis, and quality control analysis. Days, 8 hrs/day, Variable.

Senior Solutions Architect, GPU - Cloud Service Providers

Company: NVIDIA

Location: Santa Clara, CA

Posted Aug 21, 2025

As a member of our Solutions Architecture team, you will collaborate with strategic customers, providing end-to-end technology solutions and technical support…

CNC Router Operator

Company: FirstOption Workforce Solutions

Location: San Antonio, TX

Posted Aug 21, 2025

Familiar with basic hand tools, measurement tools, and safe machine handling. 2+ years of experience in a production or manufacturing environment required.

Lead Apprentice Electrician - Pre-Fab

Company: Facility Solutions Group, Inc.

Location: San Antonio, TX

Posted Aug 21, 2025

Currently enrolled in or recently completed an electrical apprenticeship. Act as a bridge between apprentices, leads, and supervisors.

Customer Service Representative - UniFirst

Company: UniFirst

Location: San Antonio, TX

Posted Aug 21, 2025

Assist customers by answering questions related to accounts, procedures, and services by telephone or email. Perform basic data entry and other administrative…

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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