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.

Staff RN Labor and Delivery

Company: Kaiser Permanente

Location: Santa Clara, CA

Posted May 29, 2025

Graduate of an accredited licensed vocational nursing program that includes clinical student experience in acute care and has worked 2000 hours as a licensed…

Emerging Technology Project Manager

Company: H-E-B

Location: San Antonio, TX

Posted May 29, 2025

A related degree or comparable formal training, certification, or experience. Leads the team in conducting post implementation analysis to identify future…

Maintenance Technician - Injection Molding and Secondary Operations

Company: Employnet Inc

Location: Hayward, CA

Posted May 28, 2025

" High school diploma or equivalent; technical certification or associate degree in industrial maintenance, mechatronics, or a related field preferred.

Product Analyst

Company: Warner Bros. Discovery

Location: Burbank, CA

Posted May 27, 2025

Bachelor's degree in a related field (e.g., statistics, data science, business, computer science) or equivalent experience.

EDM Machinist Toolmaker

Company: General Atomics and Affiliated Companies

Location: Poway, CA

Posted May 28, 2025

Utilizes and interprets engineering drawings from sketches, graphic illustrations or verbal/written correspondence to plan sequence of operations.

CNC Machinist

Company: 4M HR Logistics

Location: San Antonio, TX

Posted May 28, 2025

Proficient at dimensionally checking parts using precision measuring tools. Sets up and operates all available machine tools and performs progressive machining…

Plumber

Company: Tradesmen International, Inc.

Location: San Diego, CA

Posted May 29, 2025

5 years of experience installing maintaining, and repairing plumbing systems in residential and commercial buildings. Water heater repairs and installations.

Machinist

Company: Amada America, Inc.

Location: La Mirada, CA

Posted May 28, 2025

Basic knowledge of hand and power tools, (impact wrench, grinding tools). Check Operator messages and tool status. Inspect part for final prep work.

Data Scientist II (Remote)

Company: Vericast

Location: San Antonio, TX

Posted May 28, 2025

Expertise in analysis or design of experiments for standard and adhoc analysis, interpreting results to drive marketing strategies.

U103 Machine Operator Helper

Company: Northrop Grumman

Location: Sunnyvale, CA

Posted May 26, 2025

May assist others in setting up machine tools by gathering nuts, bolts, clamps, knees and the disassembly, movement, positioning and placement of materials.

Credentialed Middle School Physical Education Teacher (2025-2026 School Year)

Company: New West Charter School

Location: Los Angeles, CA

Posted May 27, 2025

Teachers must be able to use data and other indicators to identify patterns of achievement or challenges and then work with students to develop and implement…

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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