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.

Cloud View Engagement Project Manager SME

Company: Govcio LLC

Location: San Antonio, TX

Posted Apr 29, 2025

Must have worked in and have a solid understanding of highly technical data center environments and equipment, be able to communicate and work with IT…

View Details Apply on SimplyHired
acute care facility full time hospital

Staff Nurse II - San Leandro ICU (Evening/32)

Company: Kaiser Permanente

Location: San Leandro, California

Posted Apr 28, 2025

View Details Apply on healthecareers.com

Plasma Flame Spray Operator

Company: Solar Turbines

Location: San Diego, CA

Posted Apr 30, 2025

2+ yrs of experience with hand tools / power tools / pneumatic tools. 2+ yrs of experience using precision measuring tools.

View Details Apply on SimplyHired

Lead Software Engineer - Front End

Company: Disney Entertainment and ESPN Product & Technology

Location: Glendale, CA

Posted Apr 29, 2025

Lead hands-on UI engineering and collaborate within and across teams to design, architect, and optimize cloud-native and service-oriented UI components and…

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Conventional Machinist / Mill and Lathe machinist Southern California

Company: American Turn-key Fabricators

Location: Hayward, CA

Posted Apr 29, 2025

*Quality Control:* Verify the conformance of finished work using standard measuring tools, hand tools and special tools and equipment.

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Car Sales Representative Bilingual ( English / Spanish )

Company: Tricolor Auto Group

Location: San Antonio, TX

Posted May 01, 2025

Phone calls and Post on social media. *Driver´s License -* valid with a clean record. Please apply if you have worked as a car sales representative, car…

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U103 Machinist Entry

Company: Northrop Grumman

Location: Sunnyvale, CA

Posted Apr 28, 2025

Manual and CNC/DNC horizontal/vertical milling, boring, drilling, broaching, and turning machines, layout machine and table, tracer attachments, indexing tables…

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Field Service Technician- HVAC/Cooling

Company: Schneider Electric

Location: Los Angeles, CA

Posted Apr 28, 2025

2+ years of field service repair and customer service with UPS (Uninterruptible power supply (UPS) systems, power distribution and switchgear, seamless…

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Car Sales Representative Bilingual ( English / Spanish )

Company: Ganas Ya!

Location: San Antonio, TX

Posted May 01, 2025

Phone calls and Post on social media. *Driver´s License -* valid with a clean record. Please apply if you have worked as a car sales representative, car…

View Details Apply on SimplyHired

Senior Software Engineer - Audience Targeting

Company: Disney Entertainment and ESPN Product & Technology

Location: Santa Monica, CA

Posted Apr 29, 2025

Chip in ground-breaking innovation and apply the state-of-the-art technologies. Build components of large-scale data platform for real-time and batch processing…

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Senior Data Scientist

Company: HAYA Therapeutics SA

Location: San Diego, CA

Posted Apr 28, 2025

Hands-on experience with state-of-the-art computational approaches for single-cell analysis, including ambient RNA correction, cell-type/subtype identification,…

View Details Apply on SimplyHired

FLEX Security Officer

Company: Marksman Security

Location: San Antonio, TX

Posted May 01, 2025

Acknowledge and greet all guests with utmost courtesy and urgency, customer service, access control, greeting residents and guests with a courteous demeanor,…

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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