Machine Learning Jobs in San Francisco, CA

295,247 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 Executive

Company:

Location: Santa Fe Springs, CA

Posted Feb 03, 2025

View Details Apply on The Muse

Solution Consultant, Revenue Cycle

Company:

Location: Sacramento, CA

Posted Feb 03, 2025

View Details Apply on The Muse

Lead, GTM Operations & Analytics (Unit 42)

Company: Palo Alto Networks

Location: Santa Clara, CA

Posted Feb 03, 2025

View Details Apply on The Muse

Foreign Pharmacy Grad - International Pharmacy Intern

Company: CVS Health

Location: Chula Vista, CA

Posted Feb 03, 2025

View Details Apply on The Muse
global management consulting firm unique blend of AI and design capabilities entrepreneurial journey

Data Science Consultant

Company: Sia Partners

Location: San Francisco, CA

Posted Feb 03, 2025

Sia Partners is a global management consulting firm with 3000 consultants in 19 countries, expecting a turnover of USD 420 million. They offer a unique blend of AI and design capabilities, optimizing client projects worldwide. The company values excellence, entrepreneurship, innovation, teamwork, care, support, and employee wellbeing. They provide an entrepreneurial journey, career advocacy, continuous learning, and diversity equity and inclusion programs. Sia Partners is currently seeking a Data Scientist with 4+ years of experience in data science, machine learning, NLP, R, SQL, Python, and data visualization tools. The role involves partnering with clients, identifying data sources, analyzing data, building predictive models, and communicating insights. The company offers competitive compensation, benefits, and a commitment to diversity, equity, and inclusion.

View Details Apply on BuiltIn

B2B Sales Account Executive

Company:

Location: Pasadena, CA

Posted Feb 03, 2025

View Details Apply on The Muse

Sleep Expert - Bilingual Sales

Company:

Location: Los Angeles, CA

Posted Feb 03, 2025

View Details Apply on The Muse

Retail Sales Associate

Company: Staples

Location: Redlands, CA

Posted Feb 03, 2025

View Details Apply on The Muse

Solution Consultant, Revenue Cycle

Company:

Location: Sacramento, CA

Posted Feb 03, 2025

View Details Apply on The Muse

Sales Intern GSIP

Company:

Location: Irvine, CA

Posted Feb 03, 2025

View Details Apply on The Muse

Principal SDET Automation Engineer (Cloud Management Platform)

Company: Palo Alto Networks

Location: Santa Clara, CA

Posted Feb 03, 2025

View Details Apply on The Muse

Show Mechanical Engineer Sr (PH)

Company:

Location: Glendale, CA

Posted Feb 03, 2025

View Details Apply on The Muse

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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