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.

CNC Operator -1st Shift

Company: 5TH Axis Inc

Location: San Diego, CA

Posted Sep 05, 2025

Reliability and ability to listen and follow instruction. 401K with up to 4% matching. Ability to read blueprints and highly proficient at dimensioning/…

Spot Welder II (Swing Shift) Temporary

Company: Vantedge Medical

Location: San Jose, CA

Posted Sep 05, 2025

Our teams work in unison, collaborating and problem-solving to serve the manufacturing needs of the top Medical Original Equipment Manufacturers (OEMs) around…

Data Systems Analyst 3

Company: UC San Diego

Location: San Diego, CA

Posted Sep 06, 2025

CAIDA investigates both practical and theoretical aspects of the Internet, with particular focus on topics that are macroscopic in nature and provide enhanced…

High School Math Teacher

Company: GEORGE GERVIN ACADEMY

Location: San Antonio, TX

Posted Sep 05, 2025

Accountability Summary:* The Mathematics instructor’s primary responsibilities will consist of assessing each student’s academic level based on the program…

Graphic Designer

Company: SIC Enterprise Inc

Location: Fullerton, CA

Posted Sep 04, 2025

Collaborate with the team to understand product features, target audience, and brand guidelines to ensure all design work aligns with our overall marketing…

5th Grade Math Teacher

Company: School of Science & Technology

Location: San Antonio, TX

Posted Sep 05, 2025

Ability to use computers including software, database used by the district, spreadsheet and word processing software, calculator, copy machine, and telephone.

Data Analyst - Business Analyst

Company: Super Micro Computer

Location: San Jose, CA

Posted Sep 05, 2025

Utilize tools such as MS Office (Excel, Word, PowerPoint), Smartsheet, and other business analysis tools to document and present findings.

Senior Manager, External Programs

Company: ASML

Location: San Diego, CA

Posted Sep 04, 2025

Together with Government Affairs teams, investigate potential (new) external funding options (grants etc) for projects or for establishing teaching capability…

3rd Shift Building Engineer

Company: HVAC Recruitment

Location: Fremont, CA

Posted Sep 05, 2025

Training or certification in HVAC, Electrical, or Plumbing. The ideal candidate will be comfortable with HVAC systems, building automation, and general MEP…

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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