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.

Customer Service Insurance

Company: USAA

Location: San Antonio, TX

Posted Jul 25, 2025

As part of our licensing training program, you are required to obtain a property and casualty license for your state of residency by your third week of…

Sr. Machine Operator

Company: Priority Workforce

Location: Lincoln Heights, CA

Posted Jul 25, 2025

The ideal candidate will possess strong mechanical knowledge and a solid understanding of machining processes, including stamping presses and assembly line…

Project Manager

Company: Private Family Estate

Location: Santa Monica, CA

Posted Jul 25, 2025

Standardize and implement organizational-wide project management methodologies to enhance operational efficiency and achieve strategic business outcomes.

Marketing and Sales Representative

Company: AMICARE SERVICES INC

Location: Palo Alto, CA

Posted Jul 25, 2025

Willingness to learn and be trained, if you have the heart and drive to grow in this field. We also work with communities that we take pride in serving, and you…

Mandarin Chinese Teacher

Company: Christian Righteousness Education Center

Location: Saratoga, CA

Posted Jul 25, 2025

Communicate student progress and behavior with parents. At least one year of teaching experience. Teachers may select available class slots that best fit their…

Field Solutions Architect, Generative AI, Google Cloud

Company: Google

Location: Los Angeles, CA

Posted Jul 25, 2025

Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and…

Senior Machine Operator

Company: Priority Workforce

Location: Los Angeles, CA

Posted Jul 25, 2025

Ensure compliance with all USDA food safety standards, California state regulations, and company safety policies and procedures to maintain a safe working…

CNC Lathe Machinist and Programmer

Company: WORKERS.COM

Location: San Jose, CA

Posted Jul 25, 2025

Collaborate with engineering and production teams to develop and implement new machining strategies. Ability to read and interpret technical drawings,…

Senior Solutions Architect (5G/AI)

Company: Palo Alto Networks

Location: Santa Clara, CA

Posted Jul 25, 2025

Cross-functional Leadership - collaborate with PM, Engineering, Sales, and Partner Ecosystem teams. Familiar with various AI related attack vectors (model…

Data Center Operations Engineer - Los Angeles Vernon, CA - Data Center

Company: Lambda

Location: Vernon, CA

Posted Jul 25, 2025

Work with supply chain & manufacturing teams to ensure timely deployment of systems and project plans for large-scale deployments.

Customer Service/ Relations Lead

Company: CalColor Academy

Location: Cupertino, CA

Posted Jul 25, 2025

Maintain an organized and welcoming front desk environment at the Cupertino studio. Manage communications, including phone calls, emails, and in-person…

Senior Machine Operator

Company: Priority Workforce

Location: Los Angeles, CA

Posted Jul 25, 2025

Ensure compliance with all USDA food safety standards, California state regulations, and company safety policies and procedures to maintain a safe working…

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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