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.

Senior HVAC/R Service Technician - Light Commercial

Company: CoolSys

Location: El Segundo, CA

Posted Jun 13, 2025

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

Substitute ECE Teacher

Company: Learning Jungle USA

Location: San Diego, CA

Posted Jun 12, 2025

Engage with children through meaningful interactions that support their social-emotional, cognitive, and physical development.

Machine Operator

Company: MANA SCRAP RECYCLING

Location: Los Angeles, CA

Posted Jun 12, 2025

High school diploma or equivalent; technical training or certification in machining is an advantage. Read and interpret blueprints and technical drawings to…

Substitute ECE Teacher

Company: Learning Jungle USA

Location: La Mesa, CA

Posted Jun 12, 2025

Engage with children through meaningful interactions that support their social-emotional, cognitive, and physical development.

Substitute ECE Teacher

Company: Learning Jungle USA

Location: Poway, CA

Posted Jun 12, 2025

Engage with children through meaningful interactions that support their social-emotional, cognitive, and physical development.

Primary / Elementary Teacher

Company: OneSchool Global North America

Location: Los Angeles, CA

Posted Jun 13, 2025

A valid California Teacher's License. Experience in project based learning is a plus! Willingness to take a criminal background check.

Security Analyst, Insider Risk

Company: TikTok

Location: San Jose, CA

Posted Jun 13, 2025

Communicate findings, risk posture, and recommended remediation steps clearly to both technical and non-technical stakeholders.

Sous Chef at Rustic Root Downtown

Company: RMD Group

Location: San Diego, CA

Posted Jun 13, 2025

RMD brings extensive expertise in all areas of consulting including design, development, and management, plus a talented team of industry leaders that continue…

Front-End Developer w Full Stack

Company: Point Predictive, Inc.

Location: San Diego, CA

Posted Jun 12, 2025

You will collaborate with cross-functional teams to design, develop, and optimize front-end interfaces while also working comfortably with backend Python APIs…

Senior Software Engineer

Company: General Motors

Location: Mountain View, CA

Posted Jun 13, 2025

Use the latest cloud technologies to own, design, implement, and test scalable distributed data systems in the cloud.

Woodworking Shop Assistant

Company: Dannico Woodworks LLC

Location: San Antonio, TX

Posted Jun 13, 2025

*Equipment Maintenance:* Assist in the upkeep of tools and machinery to ensure optimal performance.​. *Woodworking Tasks:* Perform sanding, routing, and other…

RN - Emergency Department Clinical Educator - Full Time Exempt (Non-Union)

Company: USC Arcadia Hospital

Location: Arcadia, CA

Posted Jun 13, 2025

Must successfully complete and maintain ACLS certification. Must successfully complete and maintain BLS certification. USC is a smoke-free environment.

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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