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.

Janitorial Overnight

Company: Walmart

Location: San Jose, CA

Posted Jun 27, 2025

Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates.

Senior iOS Software Engineer

Company: APR Consulting Inc

Location: Los Angeles, CA

Posted Jun 28, 2025

Expert in software development domain and principles, including design patterns, code structure, programming languages, continuous integration, and deployment…

Security Officer - DoubleTree by Hilton Hotel San Jose

Company: Hilton

Location: San Jose, CA

Posted Jun 27, 2025

As a Security Officer, you would be responsible for ensuring the safety of guests and team members and the security of the hotel and property in the hotel's…

Prospect and Data Analyst

Company: Stanford University

Location: Stanford, CA

Posted Jun 27, 2025

As a key partner to the GSE’s External Relations leadership, the Prospect and Data Analyst will provide forward-thinking and forward-looking data analysis and…

Business Analyst, Portfolio Analytics

Company: Realty Income Corporation

Location: San Diego, CA

Posted Jun 26, 2025

Advanced proficiency with Microsoft Excel, including the ability to implement technical solutions that draw on a range of methods to deal with logical…

Elementary Teacher (K - 3rd)

Company: High Tech High

Location: San Diego, CA

Posted Jun 28, 2025

Valid California Multiple Subjects Teaching Credential or Out-of-state teaching license. With support and guidance from their school communities and director,…

Software Engineer, iOS

Company: Meta

Location: San Diego, CA

Posted Jun 27, 2025

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Business Analyst, Portfolio Analytics

Company: Realty Income

Location: San Diego, CA

Posted Jun 26, 2025

Advanced proficiency with Microsoft Excel, including the ability to implement technical solutions that draw on a range of methods to deal with logical…

Swiss Screw CNC Machinist

Company: Accelera

Location: El Cajon, CA

Posted Jun 27, 2025

Ability to use measurement tools and interpret blueprints. As a Swiss Screw Machinist (also known as CNC Swiss Machinist, Swiss Lathe Operator), you'll set up…

CNC Machinist III - Day Shift

Company: Vitesse Systems

Location: Newark, CA

Posted Jun 27, 2025

The employee may be exposed to hot and/or cold work environments, chemicals, fumes or airborne particles, loud noises, risk of electrical shock and vibration…

Staff Lifecycle Marketing Manager

Company: Intuit

Location: San Diego, CA

Posted Jun 28, 2025

As a Lifecycle Marketing Manager on the Growth Marketing team you will be responsible for driving the end to end campaign strategy (from defining the audience,…

Program Lead

Company: Catalyst Family Inc.

Location: Sunnyvale, CA

Posted Jun 27, 2025

Assess program quality and curriculum implementation, health/safety, and licensing standards; take steps to continuously improve in alignment with our agency’s…

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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