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.

Special Education Teacher (Middle/High School)

Company: Great Hearts Texas

Location: San Antonio, TX

Posted May 30, 2025

Knowledge of local, state, and federal regulations and policies affecting special education. Through consultation, resource, inclusion, and co-teaching models,…

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Part-Time Teacher, Non-Certified (2025-2026 School Year)

Company: San Antonio Independent School District

Location: San Antonio, TX

Posted Jun 02, 2025

Keep informed of and comply with state, district, and campus policies for classroom teachers, including. Develop and implement lesson plans that fulfill the…

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full time

Monitor Technician

Company: Kaiser Permanente

Location: San Diego, California

Posted Jun 02, 2025

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Sales Associate

Company: Zara, USA INC.

Location: Torrance, CA

Posted May 30, 2025

Know all cash operations and processes to support customers during transactions. With a global mindset, sales associates collaborate with colleagues to achieve…

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acute care facility research day shift

Staff Nurse II - Float ICU Tele 32 Hours / Wk Day Shift

Company: Kaiser Permanente

Location: South San Francisco, California

Posted Jun 01, 2025

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hospital per diem

Staff RN - Hospital - Med/Surg

Company: Kaiser Permanente

Location: San Marcos, California

Posted Jun 01, 2025

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acute care facility research

Staff Nurse II (CVICU)

Company: Kaiser Permanente

Location: San Francisco, California

Posted Jun 01, 2025

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Software Engineer

Company: eMetric

Location: San Antonio, TX

Posted May 29, 2025

*Bachelor’s degree in Computer Science or a related field *. Architect and implement *scalable microservices using domain-driven design (DDD) principles *.

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Custodian I

Company: Loyola Marymount University

Location: Los Angeles, CA

Posted May 29, 2025

Some positions may require possession of a California driver's license. This includes, but is not limited to, dusting blinds, bulletin boards, drapes, doors,…

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Laser Operator (2+ years experience required)

Company: Steeldeck Inc

Location: Gardena, CA

Posted May 30, 2025

Interpret technical drawings, blueprints, and work orders to determine appropriate cutting paths and specifications. Laser operation: 2 years (Required).

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Apprentice Service Electrician

Company: Weifield Group Contracting Texas LLC

Location: San Antonio, TX

Posted May 29, 2025

Have a minimum of least 6000 hours of commercial or industrial electrical work experience that you can validate via the ELC017 TDLR form.

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Cabinet Maker

Company: EJG Custom Carpenter LLC

Location: San Antonio, TX

Posted May 29, 2025

Experience working with power tools, table saw, miter saw, etc. Willing to learn how to read and understand cut list and shop drawings to cut and assemble…

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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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