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.

Registered Nurse - RN - Dialysis

Company: Fresenius Medical Care

Location: San Diego, CA

Posted Jun 10, 2025

The registered professional nurse Home Therapies RN CAP 1 is an entry level designation into the Clinical Advancement Program (CAP).

Whole House Fan Installation Technician

Company: Bay Area WHF Inc.

Location: Santa Clara County, CA

Posted Jun 10, 2025

We are looking for Team Members that have basic carpentry & framing skills who know how to cut lumber in existing structures /add lumber as needed, basic…

Machine Learning Engineer - AI Trainer

Company: DataAnnotation

Location: Santa Monica, CA

Posted Jun 11, 2025

You can work on your own schedule. A bachelor's degree (completed or in progress). You will work with the chatbots that we are building in order to measure…

Lead Data Scientist

Company: Deloitte

Location: San Antonio, TX

Posted Jun 10, 2025

The GPS GSi group at Deloitte is dedicated to driving innovation and efficiency through advanced data science and business intelligence solutions.

Machine Learning Engineer - AI Trainer

Company: DataAnnotation

Location: Burbank, CA

Posted Jun 11, 2025

A bachelor’s degree (completed or in progress). Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python…

TikTok Shop - Creative Designer

Company: TikTok

Location: San Jose, CA

Posted Jun 11, 2025

Keeps abreast of the latest trends, resources, and innovations in creative design, thereby stretching the boundaries and enhancing the creative output of TikTok…

Senior Software Development Engineer, AWS Neuron Frameworks

Company: Annapurna Labs (U.S.) Inc.

Location: Cupertino, CA

Posted Jun 11, 2025

5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience. We value work-life harmony.

Machine Learning Engineer - AI Trainer

Company: DataAnnotation

Location: Pasadena, CA

Posted Jun 11, 2025

You can work on your own schedule. A bachelor's degree (completed or in progress). You will work with the chatbots that we are building in order to measure…

Jewelry Consultant (Sales) - Full-Time

Company: Shane Co.

Location: Cupertino, CA

Posted Jun 11, 2025

Focus on cultivating strong customer relationships, maximizing sales performance, sharing compelling product stories, and delivering an unparalleled experience…

Senior Cyber Engineer

Company: Deloitte

Location: San Antonio, TX

Posted Jun 10, 2025

The AI Security Engineer will provide subject matter expertise, technical insight, and develop cyber and AI solutions that will drive and sustain Cyber Security…

Machine Learning Engineer - AI Trainer

Company: DataAnnotation

Location: San Antonio, TX

Posted Jun 11, 2025

You can work on your own schedule. A bachelor's degree (completed or in progress). You will work with the chatbots that we are building in order to measure…

Security Services Analyst

Company: Cetera Financial Group

Location: El Segundo, CA

Posted Jun 11, 2025

Fielding incoming requests from end users via both telephone and email in a courteous manner. College diploma or university degree in the field of computer…

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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