Ai-Enhanced Technology Jobs in San Francisco, CA

499,392 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.

Wireless System Validation Engineer

Company: Apple

Location: Sunnyvale, CA

Posted Feb 07, 2025

Manager, Creative - 3D Generalist

Company: Walmart

Location: Los Angeles, CA

Posted Feb 07, 2025

Senior Site Reliability Engineer

Company: BlackLine

Location: Pleasanton, CA

Posted Feb 07, 2025

SoC DFT Engineer

Company: Apple

Location: Cupertino, CA

Posted Feb 07, 2025

WiFi Embedded Software Engineer

Company: Apple

Location: Cupertino, CA

Posted Feb 07, 2025

Software Engineer, Synthesis

Company: Cadence

Location: San Jose, CA

Posted Feb 07, 2025

Capital Markets Data Analyst

Company: Infosys

Location: Irvine, CA

Posted Feb 07, 2025

Enterprise Business Development Lead

Company: Niantic

Location: San Francisco, CA

Posted Feb 07, 2025

Sensing HW Systems Architect

Company: Apple

Location: San Diego, 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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