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.

GenAI Engineer

Company: Deloitte

Location: San Antonio, TX

Posted Aug 07, 2025

A bachelor's degree in computer science, software engineering, or a related discipline. The ideal candidate will be a dependable team player, collaborating with…

Customer Experience Assistant, Sales

Company: Brilliant Earth

Location: San Diego, CA

Posted Aug 06, 2025

Proactively respond to online customer inquiries and provide sales assistance through live chats, and phone calls while focusing on a luxury customer experience…

Digital Forensic Analyst I

Company: Contact Government Services, LLC

Location: Los Angeles, CA

Posted Aug 07, 2025

Experience working with structured data exported from various platforms including analysis, custom scripting, and data manipulation to develop reports for…

Compensation Analyst

Company: SWBC

Location: San Antonio, TX

Posted Aug 06, 2025

Remains up to date on new compensation trends and legislative changes in order to ensure compliance with multiple state and federal pay regulations and educate…

Customer Service Dispatch Center Representative

Company: UC San Diego

Location: San Diego, CA

Posted Aug 07, 2025

Excellent interpersonal skills including tact, confidentiality, diplomacy, and flexibility; excellent telephone manner in handling a variety of calls.

Jewelry Sales Associate

Company: Brilliant Earth

Location: Palo Alto, CA

Posted Aug 06, 2025

Manage a high volume of incoming sales leads via email, live chat, and phones to attain individual revenue targets, providing a luxury customer experience…

Maintenance Mechanic/Electrician

Company: Aerotek

Location: Long Beach, CA

Posted Aug 07, 2025

This role involves performing electrical and mechanical troubleshooting, reading schematics and blueprints and troubleshooting and repairing hydraulic/pneumatic…

PRODUCTION SPECIALTY LEVEL II- (CENTERLESS GRINDER)

Company: LISI

Location: Torrance, CA

Posted Aug 07, 2025

Professionalism - Approaches others in a tactful manner; Reacts well under pressure; Treats others with respect and consideration regardless of their status or…

Construction Project Manager

Company: Ensign Services

Location: San Antonio, TX

Posted Aug 07, 2025

Oversees, directs, and manages the general contractors and contracted consultants responsible for developing project scope, budget, and schedule, to establish…

Coding Tutor / COACH / STEM Robotics / Engineering Teacher

Company: Magikid Robotics Lab San Diego

Location: San Diego, CA

Posted Aug 07, 2025

Stay open to learning new tools and technologies to support instruction. Communicate with parents about student progress and class updates if necessary.

CNC Operator -1st Shift

Company: 5TH Axis Inc

Location: San Diego, CA

Posted Aug 06, 2025

Reliability and ability to listen and follow instruction. 401K with up to 4% matching. Ability to read blueprints and highly proficient at dimensioning/…

Customer Experience Assistant Manager

Company: Brilliant Earth

Location: San Diego, CA

Posted Aug 06, 2025

Maintain an efficient and highly functional showroom and office, ensuring that the team is meeting a high standard of customer service.

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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