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.

RN, Registered Nurse - Acute MedSurgical B

Company: Christus Health

Location: San Antonio, TX

Posted Aug 04, 2025

Continues to develop the ability to cope with and manage contingencies of clinical nursing. RN License in state of employment or compact.

Retail Sales Associate

Company: Verizon

Location: San Jose, CA

Posted Aug 04, 2025

Potential to grow your customer base by placing outbound calls and sending text messages to current Verizon customers who are interested in our products and…

Certified Special Education Substitute Teacher - Up to $196 daily

Company: Kokua Education

Location: San Antonio, TX

Posted Aug 04, 2025

Texas Teacher Certification in Special Education (EC-12) - proof of valid certification required. A valid Texas Teacher's certificate is required for all…

Clinical Analyst Hybrid in San Antonio

Company: Optum

Location: San Antonio, TX

Posted Aug 03, 2025

Identify challenges and opportunities, develop solutions and communicate to business leaders and internal stakeholders. Associate or bachelor’s degree.

Maintenance Technician Industrial Electrician

Company: Howmet Aerospace

Location: Torrance, CA

Posted Aug 03, 2025

Perform mechanic skills including but not limited to, mechanical, electrical, pneumatic, hydraulic, troubleshooting, and repair of production machines.

RISE Academy 2025-26 Full-time Janitorial Position

Company: RISE Education System

Location: San Jose, CA

Posted Aug 04, 2025

Shared Vision: Supports the vision of maintaining a safe, clean, and functional environment for all staff, students, and visitors.

Security Guard (San Diego County)

Company: Elite Services USA

Location: San Diego, CA

Posted Aug 04, 2025

Must have a Security guard license with State of California or willing to get one with Elite Security. Assure the safety & security of client's property &…

Head of DeFi

Company: ChainML

Location: Los Altos, CA

Posted Aug 04, 2025

You have a solid grasp of Solidity and EVM design patterns, understand oracle design and gas-optimization techniques, and can evaluate on-chain risk-management…

Certified Bilingual Spanish Substitute Teacher - Up to $195 daily

Company: Kokua Education

Location: San Antonio, TX

Posted Aug 04, 2025

One of the following Texas Teacher Certifications (proof of valid certification required): A valid Texas Teacher's certificate is required for all Pre-K4 and…

Machine Operator

Company: Core Systems

Location: San Diego, CA

Posted Aug 03, 2025

May also fabricate and modify parts to make or repair machine tools or maintain industrial machines, applying knowledge of mechanics, mathematics, metal…

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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