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.

Founding Full Stack Engineer

Company: ISG Search Inc

Location: Menlo Park, CA

Posted Aug 12, 2025

We are hiring a seasoned, staff-level full-stack engineer to own the backend and infrastructure, with light mobile touchpoints.

LLM Machine Learning Engineer

Company: Apple

Location: San Diego, CA

Posted Aug 12, 2025

You will help design and implement our machine learning strategy to the substantial supply chain and help build the future of our manufacturing systems and…

Applied Scientist

Company: Apple

Location: San Diego, CA

Posted Aug 12, 2025

You will work closely with manufacturing machine learning engineers around the world to understand the challenges and opportunities in the field.

Graphics Designer

Company: Apple

Location: Cupertino, CA

Posted Aug 12, 2025

Experience with developing video content in all phases - content, design, animation, and prototyping. Develop and execute a variety of projects that range from…

Architect, DevOps (Cloud Engineering & API Technologies) - Retail Engineering

Company: Apple

Location: Sunnyvale, CA

Posted Aug 12, 2025

You will lead architecture, implementation and optimization efforts of cloud platforms, smooth software delivery pipelines, and collaborating with development…

Carpenter - TP136334

Company: UC San Diego

Location: San Diego, CA

Posted Aug 12, 2025

Journey-level skill and knowledge in the carpentry and cabinet making trade, including, but not limited to, framing, finish carpentry, cabinet making, laminate…

Registered Nurse - Medical Telemetry

Company: US Veterans Health Administration

Location: San Diego, CA

Posted Aug 12, 2025

Graduate of a school of professional nursing approved by the appropriate accrediting agency and accredited by one of the following accrediting bodies at the…

Database Architect (Contract)

Company: Indigenous Pact PBC, Inc.

Location: San Diego, CA

Posted Aug 12, 2025

As a Database Architect, you will play a critical role in leading the design and implementation of Indigenous Pact's enterprise data architecture and modern…

Senior AI Application Engineer

Company: Apple

Location: San Diego, CA

Posted Aug 12, 2025

In this role, you'll work at the intersection of applied AI and software engineering-translating ground breaking research into practical, scalable tools.

Software Engineer - Data

Company: Apple

Location: San Diego, CA

Posted Aug 12, 2025

Embrace data platform thinking, design and develop data pipelines keeping security, scale, uptime and reliability in mind.

Multimodal Generative Modeling Engineer

Company: Apple

Location: San Diego, CA

Posted Aug 12, 2025

As a multimodal generative modeling engineer in our team, you will be responsible for developing machine learning technologies, implementing and optimizing the…

Associate Project Manager/Field Support Pharma

Company: Testo, Inc

Location: San Diego, CA

Posted Aug 12, 2025

Valid drivers license with a clean driving record. Actively engage with training tools, system components, and internal experts to gain hands-on experience and…

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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