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.

Staff Software Engineer, AI/Machine Learning

Company: PSEMI CORPORATION

Location: San Diego, CA

Posted Aug 09, 2025

As a Staff Software Engineer specializing in AI/ML, you will be entrusted with end-to-end ownership of designing, developing, and deploying state-of-the-art AI/…

Company Driver

Company: Gilmores Trucking Inc

Location: San Antonio, TX

Posted Aug 08, 2025

A valid commercial driver's license (CDL) is required. The ideal candidate will be responsible for Hauling sand at a oil field.

Security Officer Corporate

Company: HD Supply

Location: Santee, CA

Posted Aug 08, 2025

Monitors closed-circuit televisions and telephone hotlines for the organization’s Learning Development Center and various business locations across the country.

Data Scientist, Financial Crimes - USDS

Company: TikTok

Location: San Jose, CA

Posted Aug 09, 2025

Collaborate with internal stakeholders to design, develop, validate, and implement AML scenarios, and conduct threshold tuning to optimize performance.

Machining Supervisor

Company: Mass Precision Inc

Location: San Jose, CA

Posted Aug 08, 2025

High school diploma or equivalent; technical certification or associate degree in a related field preferred. Oversee the maintenance and repair of fabrication…

RN, Registered Nurse - Mother Baby

Company: Christus Health

Location: San Antonio, TX

Posted Aug 08, 2025

Current STABLE (Post-resuscitation/Pre-transport Stabilization Care of Sick Infants) certification required from one of the following courses: Participant, Lead…

Product Engineering Architect

Company: Deloitte

Location: San Antonio, TX

Posted Aug 09, 2025

Technical Leadership and Advocacy: Serve as the technical advocate for products, ensuring architectural integrity, feasibility, and alignment with business and…

Graphic Artist - 100% Virtual

Company: Clarity Consultants

Location: Campbell, CA

Posted Aug 08, 2025

We are seeking a talented Graphic Artist to join an ongoing project supporting a large oil and gas client overhauling its equipment training for new field…

Executive Chef

Company: Laurel Hardware

Location: West Hollywood, CA

Posted Aug 08, 2025

Ensure all local and state health department standards are met. Follow all local and state fire life safety guidelines. Monitor food quality and presentation.

(RN) Registered Nurse - MON Pain Clinic

Company: UC San Diego Health

Location: San Diego, CA

Posted Aug 09, 2025

This RN will also provide coverage for sick calls, vacation, and messaging coverage for the pain clinic team. Federal, state, or local public health directives…

Manager, GenAI Engineer

Company: Deloitte

Location: San Antonio, TX

Posted Aug 09, 2025

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

ACCOUNTANT 1513 (REV 07-02-25)

Company: City of Los Angeles

Location: Los Angeles, CA

Posted Aug 08, 2025

In the interview, the following competencies may be evaluated: Analytical Ability; Learning Ability; Self Management; Technology Application; Responsiveness and…

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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