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.

RN, Registered Nurse - Labor and Delivery

Company: Christus Health

Location: San Antonio, TX

Posted Aug 23, 2025

Current NRP certification at time of hire for experienced nurses; within 60 days for new graduates and experienced nurses new to the specialty then required to…

Senior Data Scientist

Company: PlayStation Global

Location: San Diego, CA

Posted Aug 22, 2025

This is more than a modeling role—you’ll shape our fraud prevention strategy, design robust experiments, and partner with engineering, payments, and compliance…

Window Treatment Sales Consultant - $3,000 Sign-On Bonus

Company: 3 Day Blinds

Location: West Hollywood, CA

Posted Aug 22, 2025

Reliable transportation, a valid driver’s license and proof of insurance. You’ll receive 4-weeks of paid, world class training and be provided with state of the…

BI Reporting Analyst (Collections)

Company: Piper Companies

Location: San Antonio, TX

Posted Aug 22, 2025

Collaborate with collections, credit risk, and operations teams to develop and evaluate strategies aimed at improving debt recovery.

Software Engineer, Safari Extensions

Company: Apple

Location: San Diego, CA

Posted Aug 22, 2025

You’ll implement new APIs and tools and improve the architecture, security, and privacy of existing ones. The team builds on the industry-leading WebKit engine…

Management Analyst (Associate Level)

Company: G2 Ops, Inc.

Location: San Diego, CA

Posted Aug 22, 2025

A Bachelor’s degree in a business or technical field. This exciting position provides the opportunity to work on advanced engineering teams using data analytics…

Contact Center Specialist - SaaS

Company: Vagaro

Location: Pleasanton, CA

Posted Aug 23, 2025

Minimum of two years' front-line, high-volume support/call center experience. Serve as a main point-of-contact for technical escalations and specific Vagaro…

Certified Electrician 1

Company: Sunrun Installation Services, Inc.

Location: San Jose, CA

Posted Aug 22, 2025

Must possess a valid Journeyman License/Electrician Certification or equivalent per local and state requirements, e.g. wireman license.

Machinist (FADAL) - 1st shift

Company: TTM Technologies

Location: San Diego, CA

Posted Aug 22, 2025

Must comply with TTM Export Control Policies and Procedures and all applicable laws including ITAR, EAR and OFAC including but not limited to: a) being able to…

Preschool Lead Teacher (1 year lead preschool teacher experience required)

Company: Bonita Montessori

Location: Bonita, CA

Posted Aug 22, 2025

Guide children to develop their artistic and practical capabilities through a carefully constructed curriculum (identify shapes, numbers or colors, do crafts…

Welder Operator I

Company: Veridiam

Location: El Cajon, CA

Posted Aug 22, 2025

Citizens, lawful permanent residents of the United States and properly licensed foreign persons. Applicants receiving a conditional offer of employment will be…

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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