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.

Early Head Start Teacher Floater - Part-Time

Company: EPISCOPAL COMMUNITY SERVICES (ECS)

Location: National City, CA

Posted Apr 10, 2025

Verification of current driver’s license and insurance required for personal car usage. Responsive care giving: Respond quickly in a soothing and tender manner…

U100 FACILITY CARPENTER/MAINT

Company: Northrop Grumman

Location: Sunnyvale, CA

Posted Apr 07, 2025

Coordinate with management to develop rough estimates for demolition, construction, refurbishment or tenant remodeling projects, including generic bills of…

Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training

Company: Annapurna Labs (U.S.) Inc.

Location: Cupertino, CA

Posted Apr 09, 2025

Our org covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations.

HVAC Technician

Company: Jubilee Academies

Location: San Antonio, TX

Posted Apr 08, 2025

Valid Texas driver’s license Experience: Manager experience required. Safety: Maintain safety standards in conformance with federal, state, and insurance…

Project Manager

Company: Pathways Management Group

Location: Pasadena, CA

Posted Apr 05, 2025

We are committed to partnering with state and local school districts to strengthen communities and provide high-quality educational programs for at-risk and…

AI Software Engineer

Company: Gallatin

Location: El Segundo, CA

Posted Apr 08, 2025

Deep understanding of deep neural networks (DNNs), LLMs, over/underfitting, prompt engineering, and LLM security (jailbreaking risks and protections).

Elementary Teacher

Company: Mission Bay Montessori Academy

Location: San Diego, CA

Posted Apr 05, 2025

Valid state teaching certification (elementary education). Bachelor’s degree in Education or related field (Master’s degree preferred).

Lead Carpenter

Company: Cal State University (CSU) San Jose

Location: San Jose, CA

Posted Apr 07, 2025

Ability to inspect work performed by others to ensure adherence to requirements and industry practices Ability to ensure shop, equipment, and tools are properly…

CAM Operator

Company: Sanmina Corporation

Location: San Jose, CA

Posted Apr 09, 2025

The CAM Operator is responsible for reviewing customer supplied data and drawings, performing design rule checks and creation of manufacturing data, programs…

AI Engineer

Company: Capsule

Location: Los Angeles, CA

Posted Apr 08, 2025

In this role, you will work closely with our founders and product and engineering teams to design, implement, and deploy ML models that power new and improved…

Plumber (2 Positions)

Company: Cal State University (CSU) San Jose

Location: San Jose, CA

Posted Apr 07, 2025

Knowledge, Skills & Abilities Thorough knowledge of plumbing theory and the methods, materials, tools, and equipment used in the plumbing trade for the…

CDL Class C Driver

Company: DPR Construction

Location: Redwood City, CA

Posted Apr 11, 2025

Qualified driving and towing skills. Prolonged periods sitting in a vehicle/truck and operating the vehicle/truck safely. Maintain a safe work environment.

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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