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.

Solutions Architect

Company: EDF power services

Location: San Diego, CA

Posted Aug 07, 2025

25% - Advises and consults with IT and Executive Management teams regarding systems design, architecture, management, and configurations to develop technical…

Wireless Team Member

Company: Business Tech Solutions

Location: Chula Vista, CA

Posted Aug 07, 2025

Our goal is to continue bringing our customers the utmost customer service experience, sufficing their needs, and developing tech services.

Teacher - 1st Grade

Company: Jubilee Academies

Location: San Antonio, TX

Posted Aug 07, 2025

Job Duties: Instructional Strategies: • Develop and implement lesson plans that fulfill the requirements of school curriculum program and show written evidence…

Preschool Teacher - ECE Units Required

Company: Encinitas Shining Stars

Location: Encinitas, CA

Posted Aug 07, 2025

Foster social, emotional, cognitive, and physical development through play and structured activities. Create and implement age-appropriate care plans and…

Machine Operator (2pm - 11pm)

Company: Buckhead Meat and Seafood

Location: San Antonio, TX

Posted Aug 07, 2025

Responsible for managing or performing work associated with converting raw materials and components into finished goods including: • General production…

English Language Development (ELD) Teacher - High School (25-26)

Company: KIPP Public Schools Northern California

Location: San Jose, CA

Posted Aug 07, 2025

Hold a valid teaching credential in the subject of your desired role, or. Eligibility for a Provisional Internship Permit or Eligibility for a Short Term Staff…

RN - Labor and Delivery *Full-time Nights*

Company: Providence

Location: Santa Monica, CA

Posted Aug 07, 2025

Providence offers a comprehensive benefits package including a retirement 401(k) Savings Plan with employer matching, health care benefits (medical, dental,…

AI & GenAI Data Scientist – Director

Company: PRICE WATERHOUSE COOPERS

Location: San Diego, CA

Posted Aug 07, 2025

Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose…

Construction Laborer/Apprentice

Company: Terraform Builders Inc.

Location: Poway, CA

Posted Aug 07, 2025

The ideal candidate will possess strong detail oriented abilities, excellent communication skills, and a hunger to learn and invest in their own future and…

ECE Teacher - Creative Beginnings Preschool

Company: YMCA of Greater Long Beach

Location: Long Beach, CA

Posted Aug 07, 2025

16 units of GE in humanities/fine arts, social sciences, math/science, English/language arts at an EASC accredited institution. Ability to manage a classroom.

Electrician Foreman

Company: RC Power, Inc.

Location: San Jose, CA

Posted Aug 07, 2025

5+ years in the commercial electrical field. *Manage on-site installation(s) and ensure the work is performed to the plans, specifications and Company standards…

Engineering Project Coordinator

Company: SeeScan Inc.

Location: San Diego, CA

Posted Aug 07, 2025

3+ years of experience in technical project management, preferably in hardware/software environments. No recruiters, contractors, or consultants, please.

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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