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.

Sales Operations Manager

Company: 7th Avenue

Location: Inglewood, CA

Posted Jul 04, 2025

Document and roll out best practices, SOPs, and training for new tools or processes. Ensure sales reps are equipped with the tools, data, and resources to sell…

Sales Consultant

Company: 7th Avenue

Location: West Hollywood, CA

Posted Jul 06, 2025

Tech-savvy and organized – You’re comfortable with digital platforms and tools that help track leads, manage client interactions, and support an efficient sales…

RN, Registered Nurse - Acute MedSurgical B

Company: Christus Health

Location: San Antonio, TX

Posted Jul 05, 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 C Suite

Company: Bon Appetit

Location: Mountain View, CA

Posted Jul 04, 2025

Holiday Time Off (varies by site/state). Associates may also be eligible for paid and/or unpaid time off benefits in accordance with applicable federal, state,…

Sales Professional

Company: Mattress Firm

Location: Mountain View, CA

Posted Jul 06, 2025

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

Staff Marketing Manager - CRM Operations

Company: Intuit

Location: San Diego, CA

Posted Jul 04, 2025

Bachelor’s degree in Marketing, Business Administration, or related field; a Master’s degree is preferred. This candidate should possess strong technical skills…

(RN) Registered Nurse - Student Health

Company: UC San Diego Health

Location: San Diego, CA

Posted Jul 04, 2025

SHS staff consists of a diverse team of physicians, nurse practitioners, registered nurses, social workers, pharmacists, x-ray technologists, clinical…

Yoga Teacher

Company: Fusion Academy

Location: Los Angeles, CA

Posted Jul 05, 2025

This position provides a student centered, supportive classroom that promotes compassion and tolerance, emotional security, resourcefulness, and independent…

Chef de Cuisine

Company: Rustic Root Solan Beach

Location: San Diego, CA

Posted Jul 05, 2025

RMD brings extensive expertise in all areas of consulting including design, development, and management, plus a talented team of industry leaders that continue…

Janitor/Porter Luxury

Company: Related

Location: Los Angeles, CA

Posted Jul 04, 2025

Safety: Monitor and address potential safety hazards, such as wet floors or obstructions, to ensure the well-being of residents and visitors.

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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