Machine Learning Jobs in San Francisco, CA

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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.

Data Scientist

Company: Govcio LLC

Location: San Antonio, TX

Posted Jul 30, 2025

Applies and integrates these models to develop segmentation, clustering, forecasting, classification and other models. Available to full-time employees.

Principal Data Scientist - Remote

Company: Optum

Location: San Diego, CA

Posted Jul 30, 2025

The Principal Data Scientist plays a key technical contributor in the design and development of state-of-the-art ML for medical applications.

Staff Software Engineer, Infrastructure, Photos Storage

Company: Google

Location: Los Angeles, CA

Posted Jul 30, 2025

In this role, you will be a contributor who acts as the technical authority for media storage and metadata database infrastructure within Photos, and develops…

Research Data Analyst 2

Company: Stanford University

Location: Stanford, CA

Posted Jul 30, 2025

Some work may be performed in a laboratory or field setting. Create complex charts and databases, perform statistical analyses, and develop graphs and tables…

Program Lead

Company: Catalyst Family Inc.

Location: Sunnyvale, CA

Posted Jul 30, 2025

Assess program quality and curriculum implementation, health/safety, and licensing standards; take steps to continuously improve in alignment with our agency’s…

New Grad RN Residency Program- Surgery

Company: Good Samaritan Hospital

Location: San Jose, CA

Posted Jul 30, 2025

As a Resident I Graduate Nurse you will be surrounded by a supportive community of nurse educators, experienced nurses, and fellow residents that promote…

Shipping Lift Operator

Company: H-E-B

Location: San Antonio, TX

Posted Jul 30, 2025

Proactively assists other Partners through their own actions, such as sharing information about technical matters, facility-specific knowledge, processes, and…

Custodial Services Assistant Manager

Company: UC San Diego

Location: San Diego, CA

Posted Jul 30, 2025

Required to hold valid driver's license, have a driving record that is in accordance with local policies/procedures, and/or enroll in the California Employer…

OPSEC Technical Analyst

Company: Govcio LLC

Location: San Antonio, TX

Posted Jul 30, 2025

Learning & Development platform, to include certification preparation content. May provide computer forensic and intrusion support to high technology…

Software Development Engineer in Test & Robotics

Company: Apple

Location: Cupertino, CA

Posted Jul 30, 2025

Hands-on experience with the design and assembly of mechatronics systems, including expertise with tools like laser cutters, 3D printers, and lathe machines.

Senior Software Engineer

Company: BlackLine

Location: Los Angeles, CA

Posted Jul 30, 2025

As a Senior Software Engineer, you will play a crucial role in delivering high quality releases to our customers by designing, developing, troubleshooting,…

RN, Registered Nurse - Emergency Room - PRN

Company: Christus Health

Location: San Antonio, TX

Posted Jul 30, 2025

Continues to develop the ability to cope with and manage contingencies of clinical nursing. RN License in state of employment or compact.

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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