Ai-Enhanced Technology Jobs in San Francisco, CA

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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.

Senior Software Engineer – AI Platform

Company: General Motors

Location: Mountain View, CA

Posted May 17, 2025

Our core responsibilities include building and scaling core AI infrastructure and tools to enable rapid development, training, fine-tuning, evaluation, and…

Staff Software Engineer – AI Platform

Company: General Motors

Location: Mountain View, CA

Posted May 17, 2025

Our core responsibilities include building and scaling core AI infrastructure and tools to enable rapid development, training, fine-tuning, evaluation, and…

Algorithms and AI Principal Engineer

Company: ASML

Location: San Jose, CA

Posted May 17, 2025

Ability to understand customer problems, define technical directions, and conduct independent research to provide high quality solutions within time and cost…

Brand Production Graphics Designer

Company: Snowflake

Location: Menlo Park, CA

Posted May 17, 2025

Proven experience with over 5+ years working in creative design field. Identify and raise potential issues to the Senior Lead, Production Design while actively…

Manager, Worldwide Readiness

Company: Apple

Location: Cupertino, CA

Posted May 17, 2025

As a manager in Worldwide Readiness, you will lead a high impact team that operates with a relentless focus on excellence and maniacal attention to detail,…

JANITOR (FULL TIME)

Company: ESFM

Location: San Jose, CA

Posted May 17, 2025

Performs tasks in accordance with all federal, state and county guidelines. Associates may also be eligible for paid and/or unpaid time off benefits in…

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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