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.

Business Process & Data Analyst - Contract

Company: UC San Diego

Location: San Diego, CA

Posted Aug 18, 2025

Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization.

Sales Professional

Company: Mattress Firm

Location: Burbank, CA

Posted Aug 17, 2025

Leverage social media to positively impact brand awareness and increase sales. Provide technical and product knowledge information to customers and serve as…

Principal Engineer, Full‑Stack (Agentic AI)

Company: Saviynt

Location: El Segundo, CA

Posted Aug 17, 2025

Lead requirements analysis, software architecture, and design for full-stack systems infused with agentic AI components.

RN - Labor and Delivery Part-Time

Company: Providence

Location: Torrance, CA

Posted Aug 18, 2025

Providence offers a comprehensive benefits package including a retirement 401(k) Savings Plan with employer matching, health care benefits (medical, dental,…

Cellular Data Science & Machine Learning Engineer

Company: Apple

Location: San Diego, CA

Posted Aug 17, 2025

In addition, you will be closely partnering with FW engineering teams in integrating and deploying ML models and data processing pipeline as part of entire…

Virtual Info Session - Rady Children's New Grad RN Transition to Practice Program

Company: Rady Children's Hospital-San Diego

Location: San Diego, CA

Posted Aug 17, 2025

This program offers a structured and encouraging learning environment, empowering participants to develop their clinical skills and gain valuable hands-on…

Senior Manager, Patient Access Marketing

Company: Travere Therapeutics

Location: San Diego, CA

Posted Aug 18, 2025

Partner closely with the sales and field reimbursement teams to evolve materials, messaging, and resources to support a seamless field and customer experience.

IDS Staff Pharmacist

Company: UC San Diego Health

Location: San Diego, CA

Posted Aug 18, 2025

Must include hands-on practice and in-person skills assessment; online-only certification is not acceptable. Federal, state, or local public health directives…

Home Improvement Sales

Company: EI&C

Location: El Cajon, CA

Posted Aug 18, 2025

Valid CA drivers license with a clean driving record. Problem solving in the field, including resolving customer concerns and complaints.

Field Service Technician - Refrigeration Technician

Company: The DAVIS Companies

Location: Santa Clara, CA

Posted Aug 18, 2025

Performing service calls at customer sites to correct possible problems involving company products. Participating in a team environment to develop and design…

Retail Fragrances Sales Support Associate - Dior, Culver City Center - Full Time

Company: Macy’s

Location: Culver City, CA

Posted Aug 18, 2025

Participate in pre-selling and sales driving events to maximize sales. Frequent use of computers and other technology, necessary to perform job functions,…

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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