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.

Lead Data Analyst

Company: Disney

Location: Santa Monica, CA

Posted Aug 13, 2025

Advance the capabilities of the business with high-impact statistical analysis and data visualizations, collaborate in the design of diagnostic solutions, and…

Preschool Teacher - Palo Alto Campus

Company: Learn & Play Montessori

Location: Palo Alto, CA

Posted Aug 13, 2025

Must meet state criteria for child care employment. Implement Learn And Play Montessori School Montessori + STEM™ curriculum in a way that is consistent with…

Manager, Full-Stack Software Engineer - Fintech & Tax Domain

Company: Deloitte

Location: San Antonio, TX

Posted Aug 14, 2025

A bachelor's degree in computer science, software engineering, or a related discipline. Prior software engineering experience with the understanding of Business…

CNC Lathe Machinist

Company: Eastridge

Location: Poway, CA

Posted Aug 13, 2025

Certain clients require Eastridge to perform background checks and Eastridge will consider qualified applicants with criminal histories in a manner consistent…

CNC Lathe Operator

Company: Lynco Grinding Co

Location: Bell Gardens, CA

Posted Aug 13, 2025

WORK PIECES RANGE FROM 1.00 INCH DIA TO 50.00 INCH DIA AND UP TO 20 FEET LONG. MUST BE ABLE TO SET UP JOB IN CNC LATHE ,PROPER OF LOADING AND UNLOADING…

RN, Registered Nurse - Acute MedSurgical A

Company: Christus Health

Location: San Antonio, TX

Posted Aug 14, 2025

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

Security Officer - Varied - La Jolla

Company: Scripps Health

Location: La Jolla, CA

Posted Aug 14, 2025

The Security Officer supports Scripps Health through the performance of duties which provide a reasonably safe and secure environment for patients, visitors,…

RN, Registered Nurse - Alamo Heights Surgery Center

Company: Christus Health

Location: San Antonio, TX

Posted Aug 14, 2025

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

Manager in Training

Company: Challenger School Foundation

Location: San Jose, CA

Posted Aug 14, 2025

4-year college bachelor’s degree or equivalent. Thoroughly learn Challenger’s curriculum, teaching methods, philosophy, and operations.

Preschool Teacher - Palo Alto Campus

Company: Learn & Play Montessori

Location: Palo Alto, CA

Posted Aug 13, 2025

Must meet state criteria for child care employment. Implement Learn And Play Montessori School Montessori + STEM™ curriculum in a way that is consistent with…

Data Analyst 4

Company: Ursus, Inc.

Location: San Jose, CA

Posted Aug 13, 2025

8 to 10 Years of industry experience in data/business analysis or a related field. 8 to 10 Years of industry experience in data/business analysis or a related…

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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