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.

Audio Visual Service Manager

Company: Nfinity Global Inc.

Location: Milpitas, CA

Posted Jun 18, 2025

Ability to work collaboratively with cross-functional teams and communicate technical details effectively to non-technical stakeholders.

Senior Software Development Engineer, AI/ML, AWS Neuron, Model Inference

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

Location: Cupertino, CA

Posted Jun 18, 2025

5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience. A day in the life.

Staff ML Engineer - Offboard Embodied AI

Company: General Motors

Location: Mountain View, CA

Posted Jun 18, 2025

Collaborate with cross-functional teams to integrate & built distillation recipes of Robotics foundation models for onboard driving models .

Plumber - S. CA

Company: Broadway National Group

Location: San Diego, CA

Posted Jun 18, 2025

Ability to properly use hand and power plumbing tools. Respond and troubleshoot problems and provide cost estimates. Perform preventive maintenance as required.

RN Clinical - 8 W Medical ICU

Company: Keck Medical Center of USC

Location: Los Angeles, CA

Posted Jun 18, 2025

OBSERVES REGULATORY AGENCY REQUIREMENTS: National Patient Safety Goals Patient identifiers Unapproved abbreviations Universal Protocol (Procedural Time Out)…

Creator Partnerships Manager, ShopYourLikes

Company: Connexity | Skimlinks | ShopYourLikes

Location: Los Angeles, CA

Posted Jun 17, 2025

Analyze creator content, audiences, performance patterns, and areas for improvement to help develop growth plans. Experience with HubSpot or other CRM tools.

Project Assistant

Company: Daley's Drywall & Taping, Inc.

Location: Campbell, CA

Posted Jun 18, 2025

Standing, walking, sitting, typing, reaching, bending, moving and/or lifting up to 30 pounds. Must have the ability to see visually at close and long distances,…

Intrusion Analyst

Company: RealmOne

Location: San Antonio, TX

Posted Jun 18, 2025

You will also develop and implement mitigation strategies. Bachelor’s Degree in Computer Science, Computer Engineering, Information Systems, or related…

Assembly Machine Operator - M - F 10pm-6am

Company: Smurfit Kappa

Location: San Antonio, TX

Posted Jun 18, 2025

The Machine Operator will troubleshoot as needed in order to successfully clear the alarm codes the machine displays and will ensure the assembly area is…

Parking Lot Striper/General Laborer

Company: Underway Construction Services LLC

Location: San Antonio, TX

Posted Jun 18, 2025

The ideal candidate will have experience in construction and ideally parking lot maintenance. Be able to work in the heat for 408 hours at a time.

Managed Services - Applied AI Operations - Manager

Company: PRICE WATERHOUSE COOPERS

Location: San Antonio, TX

Posted Jun 18, 2025

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for…

Maintenance Staff - ECE

Company: YMCA of Greater Long Beach

Location: Long Beach, CA

Posted Jun 17, 2025

Responsible for outdoor landscaping and sprinkler systems repair. While in this position the employee is frequently exposed to moving mechanical parts.

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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