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.

Senior Software Development Engineer - Rails ART19 - Shaping the Future of Podcast Technology

Company: Amazon.com Services LLC

Location: Culver City, CA

Posted May 14, 2025

5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience.

View Details Apply on SimplyHired

Laser Machine Operator

Company: Sierra Proto Express

Location: San Jose, CA

Posted May 14, 2025

High school diploma or GED required; technical training or certification in laser machining or CNC preferred. Work closely with engineering and quality teams to…

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acute care facility hospital research

Staff Nurse II (CVOR)

Company: Kaiser Permanente

Location: San Francisco, California

Posted May 12, 2025

View Details Apply on healthecareers.com

Registered Nurse - Outpatient/Primary Care

Company: ERP International

Location: San Diego, CA

Posted May 14, 2025

Licensure: Current, full, active, and unrestricted RN license from any state.  Maintain an awareness of responsibility and accountability for own professional…

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Automotive Sales Associate

Company: Marvin K. Brown Auto Center, Inc.

Location: San Diego, CA

Posted May 15, 2025

Clean driving record and valid driver’s license. We are an equal opportunity employer and prohibit discrimination/harassment without regard to race, color,…

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Senior Visual Designer

Company: Applied Intuition

Location: Mountain View, CA

Posted May 14, 2025

Stay up-to-date with the latest design trends, tools, and technologies to ensure our visual communication remains fresh and effective.

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Lead CNC Lathe/Milling/Deburring Technician

Company: Century Precision Engineering, Inc.

Location: Gardena, CA

Posted May 13, 2025

In depth knowledge in the use of shop instruments and machine tools. Interpret drawings and work from written instructions (MOTs). 5 paid sick days per year.

View Details Apply on SimplyHired

Senior Solutions Architect, Cloud Infrastructure and DevOps - NVIS

Company: NVIDIA

Location: South Pasadena, CA

Posted May 12, 2025

Being a technical resource, develop, re-define and document standard methodologies to share with internal teams Support Research & Development activities and…

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Screw/Lathe CNC Machine Operator

Company: Inno Tech Manufacturing Inc.

Location: San Diego, CA

Posted May 14, 2025

Performs preventive maintenance and makes machine adjustments as required using hand tools and precision measuring instruments.

View Details Apply on SimplyHired

Commercial Carpenter

Company: Jackson Construction

Location: San Antonio, TX

Posted May 14, 2025

Ensure Safety and Compliance: Follow all safety protocols and building regulations while maintaining tools and equipment in top condition to foster a safe,…

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Graphic Designer/Production Specialist

Company: FASTSIGNS #69905

Location: San Diego, CA

Posted May 15, 2025

Complete or modify designs from customer drawings, files, or exact output of customer-provided design for output to media. High School diploma or equivalent.

View Details Apply on SimplyHired

Infection Control Nurse

Company: The County of Santa Clara

Location: Santa Clara County, CA

Posted May 13, 2025

Keeps abreast of current literature in the field of infection control; Proof of valid California Registered Nurse License is required.

View Details Apply on SimplyHired

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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