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.

Campus Safety Guard (Community Service Specialist II)

Company: San Diego State University

Location: San Diego, CA

Posted Aug 20, 2025

Our police officers are graduates of a California Peace Officers Standards Training Academy with full arrest powers throughout the state.

Advanced Sales Engineering Support Specialist

Company: General Dynamics Mission Systems, Inc

Location: National City, CA

Posted Aug 20, 2025

This will entail researching and analyzing data, such as customer design proposals, specifications and manuals to determine feasibility of design or application…

Software Engineer

Company: Snapchat

Location: Los Angeles, CA

Posted Aug 20, 2025

Bachelor's Degree in a relevant technical field such as computer science or equivalent years of practical work experience.

Staff Software Engineer – AI Platform

Company: General Motors

Location: Mountain View, CA

Posted Aug 20, 2025

Our core responsibilities include building and scaling core AI infrastructure and tools to enable rapid development, training, fine-tuning, evaluation, and…

Machine Operator - 1st, 2nd & 3rd shifts

Company: Moore & Associates

Location: San Diego, CA

Posted Aug 20, 2025

1-2 years of CNC type machining work experience with demonstrated ability or related technical certificate program. Ability to use in process inspection tools.

Registered Nurse (Per Diem)

Company: Cedars-Sinai

Location: Culver City, CA

Posted Aug 20, 2025

Valid CA RN license required. Provides direct and indirect care services, including, but not limited to, the administration of medications and therapeutic…

Teacher - ELA (English Language Arts), Middle School

Company: ACE Charter Schools

Location: San Jose, CA

Posted Aug 20, 2025

Build authentic relationships with families through school events, phone calls and conferences. Create a warm yet firm classroom culture through consistent…

Staff, Data Scientist

Company: Walmart

Location: Sunnyvale, CA

Posted Aug 20, 2025

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience…

Payment Customer Support Specialist - USDS

Company: TikTok

Location: Los Angeles, CA

Posted Aug 20, 2025

Troubleshoot issues ranging from system access, data/technical bugs, risk-related payment blocks, etc. Key Responsibilities - Queue Management: Actively monitor…

Machine Operator

Company: Lone Star Bakery, INC.

Location: San Antonio, TX

Posted Aug 20, 2025

Knowledge of lubricants, power and hand tools. Operators troubleshoot and repairing automated manufacturing equipment used to manufacture and package bakery…

Software Engineer, Infrastructure

Company: Meta

Location: San Diego, CA

Posted Aug 20, 2025

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent…

Executive Chef- Doubletree by Hilton San Diego – Del Mar - Franchise

Company: Hilton

Location: San Diego, CA

Posted Aug 20, 2025

Graduate of an accredited culinary institution, with certification in professional culinary arts or equivalent formal training; advanced coursework or…

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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