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.

Registered Nurse OR Circulator - Ortho & Spine Surgery Center

Company: Christus Health

Location: San Antonio, TX

Posted Jul 28, 2025

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

Sous Chef

Company: FAIRMONT

Location: Los Angeles, CA

Posted Jul 28, 2025

You will be joining a team of Chefs who are passionate about developing innovative, focused, and thoughtful individuals who will use a guest-focused approach in…

A Class Structural Welder - SDCA

Company: Austal USA

Location: San Diego, CA

Posted Jul 28, 2025

Must comply with company, federal, state, and local safety and environmental rules and regulations while performing daily job tasks.

RN, Registered Nurse - Labor and Delivery - PRN

Company: Christus Health

Location: San Antonio, TX

Posted Jul 28, 2025

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

Sr. Manager Digital Design & Visualization

Company: Nissan

Location: San Diego, CA

Posted Jul 28, 2025

The team focuses on creating photo-realistic 3D models and 2D assets of studio design proposals visualized in an aesthetically pleasing virtual environment…

Full Stack AI Architect

Company: Infosys

Location: San Diego, CA

Posted Jul 28, 2025

Knowledge in DevOps processes and tools. Bachelor’s degree or foreign equivalent required from an accredited institution. Medical/Dental/Vision/Life Insurance.

Registered Nurse OR Circulator - Ortho & Spine Surgery Center

Company: Christus Health

Location: San Antonio, TX

Posted Jul 28, 2025

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

Associate Teacher in Los Angeles

Company: Confidential

Location: Los Angeles, CA

Posted Jul 28, 2025

Associate Degree in Early Childhood Education (ECE), Child Development, or a related field. Assess student progress and adapt teaching methods accordingly to…

RN, Registered Nurse - Labor and Delivery

Company: Christus Health

Location: San Antonio, TX

Posted Jul 28, 2025

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

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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