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.

Alignment Data Scientist

Company: AE Studio

Location: Los Angeles, CA

Posted Mar 14, 2025

Ability to communicate effectively and work exclusively in English and communicate complex technical concepts clearly to a non-technical audience.

Welder (Aluminum or Inconel)

Company: Bloom Energy

Location: Fremont, CA

Posted Mar 18, 2025

H.S. diploma or equivalent technical/military training preferred. Must have proficient use of hand tools, and bench top equipment. Expected hours: 40 per week.

EHS Teacher I

Company: MEXICAN AMERICAN OPPORTUNITY FOUNDATION

Location: Los Angeles, CA

Posted Mar 13, 2025

Must possess own vehicle, and possess a current and valid California Driver’s License and at minimum, general liability automobile insurance.

Machine Operator

Company: Sterling Foods

Location: San Antonio, TX

Posted Mar 19, 2025

This is an entry level position. The Machine Operator must be cross functional in Food Safety to be able to perform in any area needed in the plant.

EHS Teacher II

Company: MEXICAN AMERICAN OPPORTUNITY FOUNDATION

Location: Los Angeles, CA

Posted Mar 13, 2025

Must possess own vehicle, and possess a current and valid California Driver’s License and at minimum, general liability automobile insurance.

EHS Teacher I

Company: MEXICAN AMERICAN OPPORTUNITY FOUNDATION

Location: Norwalk, CA

Posted Mar 11, 2025

Must possess own vehicle, and possess a current and valid California Driver?s License and at minimum, general liability automobile insurance.

Patient Account Representative - Customer Service / Call Center - Healthcare

Company: Guidehouse

Location: San Antonio, TX

Posted Mar 20, 2025

Representatives are responsible for taking in-coming and out-going calls to patients and insurance companies to resolve patient accounts.

Elementary Language Arts Instructor

Company: Art of Problem Solving

Location: Saratoga, CA

Posted Mar 18, 2025

A Bachelor's degree in education or a humanities field is strongly preferred. A formal teaching credential is not required for this position.

HS Teacher II

Company: MEXICAN AMERICAN OPPORTUNITY FOUNDATION

Location: Los Angeles, CA

Posted Mar 14, 2025

Must possess own vehicle, must have valid CA Driver?s License and current automobile insurance. Plans and supervises field trips.

Identity & Office 365 Analyst

Company: Cal State University (CSU) East Bay

Location: Hayward, CA

Posted Mar 12, 2025

Manage license assignments, including auditing license usage and ensuring optimal license distribution across the institution.

EHS Teacher II

Company: MEXICAN AMERICAN OPPORTUNITY FOUNDATION

Location: Norwalk, CA

Posted Mar 11, 2025

Must possess own vehicle, and possess a current and valid California Driver?s License and at minimum, general liability automobile insurance.

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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