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.

Principal Data Scientist - Remote

Company: Optum

Location: San Diego, CA

Posted Aug 05, 2025

8+ years of experience in machine learning or data science: data analysis, algorithm design, model architecture specification, machine learning algorithm…

PICU Nursing Professional Development Specialist

Company: Stanford Children's Hospital

Location: Palo Alto, CA

Posted Aug 05, 2025

This occurs through the facilitation of the educational process through assessment, development, planning, implementation and evaluation of clinical competency…

Multiple Subject Teacher (Elementary)

Company: Para Los Niños

Location: Los Angeles, CA

Posted Aug 05, 2025

They implement curriculum and instruction in alignment with PLN's mission, emphasizing academic, social, and emotional learning, as well as student wellness.

PKI Engineer

Company: OSI VISION LLC

Location: San Antonio, TX

Posted Aug 05, 2025

Customer Support: Provide technical assistance to customers for PKI-related issues, questions, or implementation and integration of PKI into their systems or…

Copy Machine Operator

Company: Bexar County

Location: San Antonio, TX

Posted Aug 05, 2025

Under direct supervision, is responsible for the daily operations of the Bexar County Law Library photocopying services; operates and maintains photocopy…

Retail Cosmetics Sales Associate, Stanford Shopping Center

Company: Macy's

Location: Palo Alto, CA

Posted Aug 05, 2025

*Collaboration*: Partnership with the total Beauty team to drive sales and deliver the customer experience. Use our clientele program to connect with customers,…

Part Time Substitute Educator - Santa Clara School District

Company: Right At School

Location: Santa Clara, CA

Posted Aug 05, 2025

Pet Health: Pet discount programs and pet insurance. Organize and lead structured daily fitness, activities, and curriculum; that are both educational and…

Press Brake Operator

Company: 4M HR Logistics

Location: San Antonio, TX

Posted Aug 05, 2025

Read and interpret blueprints, engineering drawings, and work orders. Use measuring tools such as calipers and micrometers to verify dimensions and tolerances.

Retail Sales Associate - Part Time

Company: FAIRMONT

Location: San Diego, CA

Posted Aug 05, 2025

Be able to assist guests by maintaining complete knowledge of scheduled daily activities and in-house groups, daily house count, hotel extension numbers, radios…

1st Grade Teacher

Company: New Level Resources

Location: San Diego, CA

Posted Aug 05, 2025

Bachelor’s degree in elementary education or a related field. CPR and First Aid certification (or willingness to obtain). San Diego, CA 92172 (Required).

RN- Adjunct VN Clinical Instructor

Company: North-West College

Location: San Diego, CA

Posted Aug 05, 2025

Registered Licensed Nurse - current active license in the state of California. Functional abilities to carry out classroom, clinical and laboratory teaching…

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.

Related Pages