Ai-Enhanced Technology Jobs in San Francisco, CA

498,963 open positions · Updated daily

Looking for Ai-Enhanced Technology jobs in San Francisco, CA? Browse our curated listings with transparent salary information to find the perfect Ai-Enhanced Technology position in the San Francisco, CA area.

Nuclear Medicine Technologist

Company: Department of Veterans Affairs - Veterans Health Administration

Location: San Antonio, Texas

Posted Jul 13, 2025

View Details Apply on usajobs.gov

Senior Software Development Engineer in Test

Company: NVIDIA

Location: Santa Clara, CA

Posted Jul 13, 2025

You will develop a system operating at large scale, running hundreds of tests per day in distributed heterogeneous servers with NVIDIA's GPUs connect to verify…

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Medical Records Technician (Coder In/Out)

Company: Department of Veterans Affairs - Veterans Health Administration

Location: San Diego, California

Posted Jul 14, 2025

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HOUSEKEEPER (FULL TIME)

Company: Crothall Healthcare

Location: Los Angeles, CA

Posted Jul 13, 2025

Responds to calls for housekeeping problems, such as spills and broken glasses. Associates may also be eligible for paid and/or unpaid time off benefits in…

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Orthotist-Prosthetist

Company: Department of Veterans Affairs - Veterans Health Administration

Location: San Antonio, Texas

Posted Jul 14, 2025

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Clinical Laboratory Scientist - EDRP Authorized

Company: Department of Veterans Affairs - Veterans Health Administration

Location: San Antonio, Texas

Posted Jul 14, 2025

View Details Apply on usajobs.gov
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Join Our Expert Team: Interventional Cardiologist with Vascular and Endovascular Medicine Expertise-

Company: Cardiovascular Institute of San Diego

Location: San Diego, California

Posted Jul 14, 2025

View Details Apply on healthecareers.com

Manager, Software Engineering

Company: Disney Entertainment and ESPN Product & Technology

Location: Glendale, CA

Posted Jul 14, 2025

BS in Computer Science, or a related quantitative field; or equivalent practical experience demonstrating advanced technical expertise and proven leadership…

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Accountant/Senior Accountant

Company: State Bar of California

Location: Los Angeles, CA

Posted Jul 13, 2025

Principles of data analysis and research tools. Reviews the work of external accountants in their role as agents of the State Bar, ensuring agreed-upon…

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Emergency Medicine (Full-time)

Company: Kaiser Permanente – Southern California Permanente Medical Group

Location: San Diego, California

Posted Jul 14, 2025

View Details Apply on healthecareers.com
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Dermatologist Opportunity at Stone Oak Dermatology

Company: DermCare Management, LLC

Location: San Antonio, Texas

Posted Jul 13, 2025

View Details Apply on healthecareers.com

Dietitian (Clinical) - Recruitment or Relocation Incentive Authorized

Company: Department of Veterans Affairs - Veterans Health Administration

Location: San Angelo, Texas

Posted Jul 13, 2025

View Details Apply on usajobs.gov

Frequently Asked Questions

What are typical salary ranges by seniority for AI-Enhanced Technology roles?
Entry‑level ML Engineer or Data Scientist: $90k–$110k. Mid‑level: $120k–$150k. Senior/Lead: $160k–$200k. Staff/Principal: $210k–$260k. Director/VP: $250k–$350k (base + bonus + equity). These ranges reflect U.S. market averages for cloud‑native AI positions.
Which skills and certifications are most valuable in AI-Enhanced Technology?
Core skills: Python, PyTorch/TensorFlow, Kubernetes, Docker, CI/CD, Airflow, MLflow, SageMaker, Vertex AI, Azure ML, MLOps, reinforcement learning, generative models, NLP, CV, data engineering, SQL, Spark. Certifications: AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer, Microsoft Certified: Azure AI Engineer Associate, TensorFlow Developer Certificate, Certified Data Scientist (CDS), DeepLearning.AI TensorFlow Practitioner.
Is remote work common for AI-Enhanced Technology positions?
Yes. Many AI‑Enhanced Tech companies adopt remote‑first or hybrid models. Companies such as OpenAI, DeepMind, UiPath, NVIDIA, and Cloudflare offer fully remote roles; others provide 3‑4 days per week remote availability, while hardware‑lab positions may require occasional on‑site presence.
What career progression paths exist in AI-Enhanced Technology?
Typical trajectory: Junior Data Scientist → ML Engineer → MLOps Engineer → Lead ML Engineer → AI Solutions Architect → AI Product Manager → Director of AI → VP of AI. Each step adds responsibilities from model training to infrastructure management, product strategy, and executive leadership.
What are the current industry trends shaping AI-Enhanced Technology?
Key trends include generative AI and multimodal models, reinforcement learning for robotics, edge AI for IoT and autonomous vehicles, responsible AI and fairness regulation, AI‑Ops for continuous monitoring, AI‑as‑a‑Service platforms, and domain‑specific AI in healthcare diagnostics, finance fraud detection, and cybersecurity threat intelligence.

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