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.

full time be or bc

Pediatric Surgeon Full Time

Company: Kaiser Permanente – Southern California Permanente Medical Group

Location: San Diego, California

Posted Apr 29, 2025

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bilingual

General Neurology- San Luis Obispo, CA

Company: Adventist Health

Location: San Luis Obispo, California

Posted Apr 29, 2025

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hospital full time

Senior Surgical Technician

Company: Kaiser Permanente

Location: San Francisco, California

Posted Apr 28, 2025

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relocation assistance part time full time

Integrative Medicine Physician BC/BE

Company: Palo Alto Foundation Medical Group

Location: San Carlos, California

Posted Apr 27, 2025

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CorpIT Engineer IV

Company: Consensus Cloud Solutions

Location: Los Angeles, CA

Posted Apr 28, 2025

Vendor management, inventory control, maintenance coordination, logistics, and license management. The CorpIT Engineer IV is responsible for the design,…

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Custodian I

Company: Santa Clara University

Location: Santa Clara, CA

Posted Apr 29, 2025

A California driver's license is preferred. Project Support: Support custodial projects on campus including exterior window washing from the ground utilizing…

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U103 Machinist Entry

Company: Northrop Grumman

Location: Sunnyvale, CA

Posted Apr 28, 2025

Manual and CNC/DNC horizontal/vertical milling, boring, drilling, broaching, and turning machines, layout machine and table, tracer attachments, indexing tables…

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Senior Software Engineer - Audience Targeting

Company: Disney Entertainment and ESPN Product & Technology

Location: Santa Monica, CA

Posted Apr 29, 2025

Chip in ground-breaking innovation and apply the state-of-the-art technologies. Build components of large-scale data platform for real-time and batch processing…

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Data Scientist Principal – Bank AI/ML

Company: USAA

Location: San Antonio, TX

Posted Apr 28, 2025

Clearly translates complex analytical and technical concepts to diverse, technical, and non-technical audiences in a way that promotes organizational data…

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Senior Data Scientist

Company: HAYA Therapeutics SA

Location: San Diego, CA

Posted Apr 28, 2025

Hands-on experience with state-of-the-art computational approaches for single-cell analysis, including ambient RNA correction, cell-type/subtype identification,…

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loan repayment program hospital part time

Registered Nurse (RN) - Float Resource - $28-38 per hour

Company: HCA Methodist Healthcare of San Antonio

Location: San Antonio, Texas

Posted Apr 27, 2025

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call-in/on-call

MRI Tech - Call-in/On-Call - San Marcos

Company: Kaiser Permanente

Location: San Marcos, California

Posted Apr 28, 2025

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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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