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.

ITTS - International Corporate Tax Advisory Senior - FY26

Company: EY

Location: San Jose, CA

Posted Jul 18, 2025

Progress toward (or completion of) a valid CPA certification or licensed attorney status. Constantly developing your own knowledge, maintaining your status as a…

Electrician Tech V

Company: Amentum

Location: Santa Clara, CA

Posted Jul 20, 2025

Associates degree or technical certification in Industrial Technology, Industrial Mechanical, or related technical program. Repair all plant electrical items.

Commercial Plumber - Journeyman (+5 years Exp Required)

Company: Dano Specialties LLC

Location: San Jose, CA

Posted Jul 19, 2025

Plumbing State license Master or Journeyman card preferred. Plumbing State license Master or Journeyman card required. Able to travel to various project sites.

Accounts Payable Staff Accountant

Company: 211 San Diego

Location: San Diego, CA

Posted Jul 19, 2025

Maintains petty cash and credit card procedures. Reconciles bank statements, credit card statements, investment account and petty cash account.

Special Education Teacher / Education Specialist (Mild/Mod) (25-26)

Company: KIPP Public Schools Northern California

Location: San Jose, CA

Posted Jul 20, 2025

Collaborate with key stakeholders to develop measurable annual goals in students’ areas of need including academic, behavior, and social emotional.

Industrial Custodian

Company: Chrome Hearts

Location: Hollywood, CA

Posted Jul 18, 2025

At times, machines and hand tools may create noise exposure that is within sound level parameters. This role routinely uses standard casting, soldering and…

Sales Associate

Company: ksubi

Location: Los Angeles, CA

Posted Jul 19, 2025

Have experience in apparel, driving sales and achieving results. Ability to work across Mon-Sun, including late night trade. Full US working rights required.

Retail Cosmetics Sales Associate - YSL Beaute, Westfield Valley Fair - Full Time

Company: Macy’s

Location: Santa Clara, CA

Posted Jul 19, 2025

Collaboration: Partnership with the total Beauty team to drive sales and deliver the customer experience. Use product knowledge to give expert guidance to each…

Service Delivery Center - Microsoft Dynamics Developer - Senior

Company: EY

Location: San Antonio, TX

Posted Jul 18, 2025

Bachelor’s degree in Computer Science, Management Information Systems or other technical field of study. Fielding support request through various methods such…

Senior Friction Stir Welding Technician, First Shift

Company: Relativity Space

Location: Long Beach, CA

Posted Jul 19, 2025

Develop Manufacturing Processes: Collaborate with engineering and technician teams to develop and productionize Friction Stir Welding processes which will…

Registered Nurse-Ambulatory Surgery Center Stone Oak

Company: Christus Health

Location: San Antonio, TX

Posted Jul 18, 2025

Continues to develop the ability to cope with and manage contingencies of clinical nursing. RN License in state of employment or compact.

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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