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.

Retail Sales Consultant

Company: Sun Communication Mobile LLC.

Location: San Antonio, TX

Posted Jun 03, 2025

Drive sales of preferred handsets, rate plans, features and accessories, per company guidance and benchmarks set by management.

Graphic Design Teacher (Part-Time)

Company: Notre Dame High School San Jose

Location: San Jose, CA

Posted Jun 02, 2025

Willingness to work with individual students to develop portfolios and independent study projects in the arts. Teach assigned 2 graphic design classes.

Mandarin Chinese Teacher

Company: Golden Dragon USA

Location: San Diego, CA

Posted Jun 02, 2025

Monitor and assess student progress to adjust teaching strategies as needed. Develop and implement engaging lesson plans that meet the individual needs of…

Machine Operator/Assembler

Company: AtWork Personnel Services Monterey Park

Location: Monterey Park, CA

Posted Jun 02, 2025

OSHA 10/30 certification (Preferred). Must have a valid Driver s License (Required). The ideal candidate will have at least 2 years of experience operating…

Part Time Stock Associate - BOSS Store - Beverly Center

Company: Hugo Boss

Location: Los Angeles, CA

Posted Jun 02, 2025

Assist in the implementation of Health & Safety policy and operational procedures utilizing training and guidance provided to support store management within…

SENIOR GRAPHIC DESIGNER

Company: Bon Appetit

Location: Redwood City, CA

Posted Jun 02, 2025

Brainstorm, develop, and execute creative ideas for the design of sales materials including sales proposals and presentations.

Seasonal Sales Associate

Company: Lakeshore Learning Materials, LLC

Location: San Diego, CA

Posted Jun 02, 2025

Experience in customer outreach and driving customer loyalty through brand awareness initiatives is preferred. Process transactions accurately and efficiently.

CNC Machine Operator

Company: Kalman Manufacuring - CNC Precision Machining

Location: Morgan Hill, CA

Posted Jun 03, 2025

Kalman Manufacturing of Morgan Hill, California is a Silicon Valley leader in high-precision manufacturing with a diverse customer base, ranging from medical…

Business Systems Analyst IV, Data Management

Company: MedImpact Healthcare Systems

Location: San Diego, CA

Posted Jun 03, 2025

Excellent written and verbal communications skills with emphasis on translating technical concepts to non-technical audiences and advocating for best practices…

Lathe Operator – B8884

Company: Express Employment Professionals

Location: Burbank, CA

Posted Jun 03, 2025

Quality - Demonstrates accuracy and thoroughness; Looks for ways to improve and promote quality; Applies feedback to improve performance; Monitors own work to…

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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