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.

Senior AI Application Engineer

Company: Apple

Location: San Diego, CA

Posted Aug 25, 2025

In this role, you'll work at the intersection of applied AI and software engineering-translating ground breaking research into practical, scalable tools.

Retail Sales Associate - Womens Shoes, Stanford Shopping Center - Part Time

Company: Macy’s

Location: Palo Alto, CA

Posted Aug 25, 2025

Frequent use of computers and other technology, necessary to perform job functions, including handheld equipment, cash register and ability to process register…

Human Resources Analyst - Workforce Analytics

Company: BAE Systems

Location: San Diego, CA

Posted Aug 25, 2025

Demonstrated experience and ability to compile, interpret, and analyze HR/TA data, draw valid conclusions, and project consequences of decisions and…

Sr Content Designer

Company: paypal

Location: San Jose, CA

Posted Aug 25, 2025

Proven ability to develop scalable design systems (libraries, templates, and reusable components) in a fast-paced, high-volume environment.

Security Officer - Part Time Armed Patrol

Company: Allied Universal

Location: San Antonio, TX

Posted Aug 25, 2025

A valid driver's license is required and must meet Allied Universal driver policy requirements for driving positions only. Must be at least 21 years of age.

Machine Operator - Day Shift

Company: NOV Inc.

Location: San Antonio, TX

Posted Aug 25, 2025

Manufactures high-quality, low-cost pipe according to manufacturing specification sheets in an efficient manner while maintaining all NOV quality and safety…

Design Specialist

Company: SunSource

Location: San Antonio, TX

Posted Aug 25, 2025

Responsibilities include collaborating with clients and teams, ensuring brand consistency, managing projects, staying updated on trends, and sometimes providing…

Machine Operator - Night Shift

Company: NOV Inc.

Location: San Antonio, TX

Posted Aug 25, 2025

Manufactures high-quality, low-cost pipe according to manufacturing specification sheets in an efficient manner while maintaining all NOV quality and safety…

Yield Improvement Data Analyst

Company: Sanmina Corporation

Location: San Jose, CA

Posted Aug 25, 2025

Work with Product Engineering and Process Engineering to translate design attributes into design rules to choose optimal fabrication process flows.

Senior Software Engineer - AI Infrastructure

Company: ASML

Location: San Jose, CA

Posted Aug 25, 2025

Bachelor’s or Master’s degree in Computer Science or related field. Automate model deployment and lifecycle management using CI/CD tools and frameworks.

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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