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.

SwiftUI Framework Engineer

Company: Apple

Location: Cupertino, CA

Posted Aug 24, 2025

You will: • Contribute to the design, implementation, and testing of new APIs and features in Swift (with opportunities to learn Objective-C/C++) • Participate…

Retail Sales Associate - Womens Shoes, Stanford Shopping Center - Part Time

Company: Macy’s

Location: Palo Alto, CA

Posted Aug 25, 2025

Frequent use of computers and other technology, necessary to perform job functions, including handheld equipment, cash register and ability to process register…

Food Service Teacher - School Chef

Company: Primrose School of Willow Glen

Location: San Jose, CA

Posted Aug 25, 2025

Keywords: teacher, education, preschool teacher, child care, teaching, daycare, online teacher, preschool, school, KinderCare, preschool, teacher, infant,…

Custodian (Pool)

Company: California State University

Location: San Diego, CA

Posted Aug 25, 2025

Through academic programs, student organizations and activities, faculty initiatives, and community partnerships, we encourage meaningful engagement with…

Plumbing Intake Specialist

Company: First Call Plumbing and Restoration

Location: San Diego, CA

Posted Aug 24, 2025

*Answer incoming calls*: Respond to customer calls promptly and professionally, converting service inquiries into booked appointments.

Unit Assistant

Company: Kaiser Permanente

Location: San Rafael, California

Posted Aug 24, 2025

Janitorial Maintenance

Company: Coneybeare

Location: Torrance, CA

Posted Aug 25, 2025

We are looking for a full-time *Janitorial Maintenance worker* to support daily operations at our fabrication and industrial space in Torrance.

CNC Machinist 2nd Shift Temp to Hire

Company: Ducommun

Location: Gardena, CA

Posted Aug 25, 2025

Sets up all tools, performs related bench work and verifies part conformity using precision measuring equipment as required. Noise level is usually moderate.

Machine Operator-Second Shift

Company: Lone Star Bakery, INC.

Location: San Antonio, TX

Posted Aug 25, 2025

Ability to use basic hand tools. Ability to work at steady and continuous pace and to keep up with manufacturing production. This shift pays a differential.

Principal AI Engineer

Company: CPS Energy

Location: San Antonio, TX

Posted Aug 25, 2025

Excellent communication skills and the ability to articulate complex technical concepts to both technical and non-technical audiences.

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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