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.

Machine Operator

Company: NEXTracker

Location: San Jose, CA

Posted Jul 09, 2025

Perform basic troubleshooting and adjustments as needed. Monitor machine performance and product quality throughout each shift.

Accountant I

Company: Opportunity Home San Antonio

Location: San Antonio, TX

Posted Jul 09, 2025

Reconciles, prepares & files quarterly and annual federal and state payroll tax reports and provides follow-up as necessary.

Machining Tech II, Shave and Point

Company: Howmet Aerospace

Location: Carson, CA

Posted Jul 09, 2025

Our products are also critical components of industrial gas turbines, automobiles, commercial transportation vehicles, and construction and industrial equipment…

Overnight Security / Safety Agent

Company: Living Room LA

Location: Los Angeles, CA

Posted Jul 09, 2025

The ability to assess, mitigate, and manage risks, as well as develop and implement comprehensive safety programs and protocols.

Machining Tech III, Multi Spindle (2nd Shift)

Company: Howmet Aerospace

Location: Carson, CA

Posted Jul 09, 2025

Our products are used nose to tail on commercial and military aircraft, as well as on jet engines, industrial gas turbines, automobiles, commercial…

2nd Shift Processing Tech I

Company: Howmet Aerospace

Location: Torrance, CA

Posted Jul 10, 2025

Our products are also critical components of industrial gas turbines, automobiles, commercial transportation vehicles, and construction and industrial equipment…

Machine Operator

Company: Leviat North America

Location: San Antonio, TX

Posted Jul 10, 2025

Machine operators may work with mechanical or computer-operated equipment. They must be technically inclined and able to properly utilize tools and machinery.

Security Officer - Overnight

Company: FAIRMONT

Location: San Diego, CA

Posted Jul 09, 2025

Take an active role in the implementation of the hotel's fire plan including the General Communication Center, the Command Post, all technical equipment and the…

Principal Software Engineer, Ad Platforms

Company: Disney Entertainment and ESPN Product & Technology

Location: Glendale, CA

Posted Jul 10, 2025

Masters Degree in a related field, and/or related certification/s. Innovation: We develop and implement groundbreaking products and techniques that shape…

Vice President, AI Product Engineer

Company: Oaktree Capital Management, L.P.

Location: Los Angeles, CA

Posted Jul 10, 2025

Proven track record shipping production AI tools or platforms used by real users. Prototype LLM-powered tools, copilots, and retrieval-based workflows using…

Janitor- Sunday to Thursday

Company: Westwood Village

Location: Los Angeles, CA

Posted Jul 09, 2025

401(K) with employer matching. Sweeps, dusts, dust mops, and wet mops all floors and stairways; spot cleans and vacuums floors, rugs, carpets and runners.

Machine Operator Lead

Company: NEXTracker

Location: San Jose, CA

Posted Jul 09, 2025

Perform basic troubleshooting and adjustments as needed. Monitor machine performance and product quality throughout each shift.

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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