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.

Senior Software Engineer - HPC

Company: NVIDIA

Location: Santa Clara, CA

Posted Jul 04, 2025

B.S. degree in Computer Science or related technical field (or equivalent experience). 10+ years of experience in design, implementation, and delivery of large…

Senior Software Engineer -Adobe Experience Platform

Company: ACSC Management Services Inc

Location: Los Angeles, CA

Posted Jul 04, 2025

Every day, you'll bring your engineering expertise and passion for data to help design and maintain scalable pipelines, model customer data, and ensure clean…

EVS Custodian - Evenings

Company: UC San Diego Health

Location: San Diego, CA

Posted Jul 04, 2025

Must include hands-on practice and in-person skills assessment; online-only certification is not acceptable. Federal, state, or local public health directives…

Tech Lead Software Engineer

Company: Motion Recruitment

Location: Los Angeles, CA

Posted Jul 03, 2025

Experience with AI and machine learning integration, particularly in healthcare contexts (e.g., OpenAI, PathAI, Aidoc, MONAI).

Senior Architect, AI Solutions Engineering

Company: NVIDIA

Location: Santa Clara, CA

Posted Jul 04, 2025

As an AI Solutions Architect, you will manage the tools NVIDIAns use to deliver solutions quickly, and identify any gaps in these tools. MS or PhD in EE/CS.

Machine Learning Manger / 3D Virtual Assets / Los Angeles, CA

Company: Motion Recruitment

Location: Los Angeles, CA

Posted Jul 04, 2025

This role will lead a dedicated team of machine learning engineers focused on developing models for AI avatars, generative content tools, and 3D asset…

Senior Incident Management Analyst

Company: BlackLine

Location: Pleasanton, CA

Posted Jul 03, 2025

Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent experience). Strong analytical and problem-solving skills with…

Retail Sales Consultant - Part Time - Stanford - Palo Alto, CA

Company: Swarovski

Location: Palo Alto, CA

Posted Jul 03, 2025

Today this legacy is rooted in sustainability measures across the value chain, with an emphasis on circular innovation, championing diversity, inclusion and…

Machine Operator

Company: Bakerly Ranch LLC

Location: San Antonio, TX

Posted Jul 04, 2025

Establish and develop strong professional relationships with operators, line conductors, and supervisors. Complete tasks promptly and carefully.

Machine Operator

Company: Oldcastle BuildingEnvelope, Inc.

Location: Fremont, CA

Posted Jul 04, 2025

Building teams of demand creation specialists, technical sales, and local customer sales/support talent. This position involves setting up a machine to drill…

Digital Marketing Manager

Company: SWBC

Location: San Antonio, TX

Posted Jul 03, 2025

Work closely with the Social Media Team to ensure cohesiveness across social media activities as they pertain to the digital landscape, including social…

Senior Software Engineer, Ad Platforms

Company: Disney Entertainment and ESPN Product & Technology

Location: Glendale, CA

Posted Jul 04, 2025

Great communication, collaboration skills and a strong teamwork ethic with both technical and non-technical audiences. MS in Computer Science / Engineering.

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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