Machine Learning Jobs in San Francisco, CA

295,247 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 Product Manager (SaaS Inline Security)

Company: Palo Alto Networks

Location: Santa Clara, CA

Posted Feb 03, 2025

View Details Apply on The Muse

Sales Representative

Company:

Location: La Mirada, CA

Posted Feb 03, 2025

View Details Apply on The Muse

Beauty Sales Consultant, Licensed

Company: CVS Health

Location: San Clemente, CA

Posted Feb 03, 2025

View Details Apply on The Muse

Network Quantitative Engineer

Company: Meta

Location: Menlo Park, CA

Posted Feb 03, 2025

View Details Apply on The Muse

Data Engineering Manager, Analytics (Security)

Company: Meta

Location: Menlo Park, CA

Posted Feb 03, 2025

View Details Apply on The Muse

General Laborer - Madera, CA

Company: CRH

Location: Madera, CA

Posted Feb 03, 2025

View Details Apply on The Muse

Software Engineer - Machine Learning & AI

Company: Apple

Location: Cupertino, CA

Posted Feb 03, 2025

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Senior Manager Media Partnerships - Sam's Club MAP

Company: Walmart

Location: South San Francisco, CA

Posted Feb 03, 2025

View Details Apply on The Muse

Site Director at Guinn Elementary School

Company: KinderCare Learning Companies

Location: Anaheim, CA

Posted Feb 03, 2025

View Details Apply on The Muse
leading fintech company flexible cloud-based payments platform global enterprises launch new products

Senior Specialist, Technical Account Management

Company: Checkout.com

Location: San Francisco, CA

Posted Feb 03, 2025

Checkout.com is a leading fintech company that empowers businesses and their communities to thrive in the digital economy. They offer a flexible, cloud-based payments platform for global enterprises, helping them launch new products and create customer-loved experiences. The company is known for its performance, scalability, and innovative culture, as recognized by Forbes Cloud 100 and Great Place to Work accreditation. They are seeking an Enterprise Technical Account Manager (TAM) to build and maintain strategic relationships with key clients, ensuring their satisfaction by resolving technical issues, optimizing payment solutions, and delivering exceptional service. The ideal candidate should have 3+ years of experience in an analytical or technical role, a bachelor's degree in a relevant field, familiarity with payments industry regulations, API-based integration methods, and front-end technologies. Excellent communication and interpersonal skills are essential, along with a result-oriented approach and knowledge of payments technology compliance standards.

View Details Apply on BuiltIn

Retail Sales Specialist (Bilingual Spanish) - $20.00 per hour, plus commission and incentives!

Company: Spectrum

Location: Oxnard, CA

Posted Feb 03, 2025

View Details Apply on The Muse

Entry Level Sales Representative

Company:

Location: La Mirada, CA

Posted Feb 03, 2025

View Details Apply on The Muse

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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