Ai-Enhanced Technology Jobs in San Francisco, CA

499,324 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.

Systems Quality Engineer

Company: Apple

Location: Cupertino, CA

Posted Feb 07, 2025

Pharmacy Technician

Company: CVS Health

Location: San Antonio, TX

Posted Feb 07, 2025

Senior Environmental Services Attendant

Company: Sodexo

Location: Bakersfield, CA

Posted Feb 07, 2025

Content Designer (University Grad)

Company: Meta

Location: Menlo Park, CA

Posted Feb 07, 2025

Pharmacy Technician

Company: CVS Health

Location: Fresno, CA

Posted Feb 07, 2025

Senior Billing Engineering Manager

Company: Cloudflare

Location: San Francisco, CA

Posted Feb 07, 2025

Relationship Banker - Corte Madera area

Company: Merrill

Location: Corte Madera, CA

Posted Feb 07, 2025

Total Rewards Analyst

Company: Qlik

Location: San Mateo, CA

Posted Feb 07, 2025

Senior Principal Customer Success Manager

Company: Checkr

Location: San Francisco, CA

Posted Feb 07, 2025

Content Manager

Company: Meta

Location: San Francisco, CA

Posted Feb 07, 2025

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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