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.

Customer Solutions Specialist II

Company: Vantedge Medical

Location: San Jose, CA

Posted Jun 21, 2025

Efficiently field customer interactions, process and acknowledge orders and open order reporting with accuracy. Up to 5% travel based upon business need.

Software Engineer - Backend Systems

Company: Apple

Location: San Diego, CA

Posted Jun 20, 2025

Experience leading the technical development of larger features and collaborating across organizational boundaries.

Communications Manager

Company: City of Encinitas

Location: Encinitas, CA

Posted Jun 20, 2025

Knowledge of: Strong media relations experience and understanding of local, regional, and digital media landscapes; applicable principles, practices, methods,…

Webber - Carpenter - Heavy Civil

Company: Webber, LLC

Location: San Antonio, TX

Posted Jun 20, 2025

Webber also has an in-house engineering services department to help optimize building efficiency and quality while solving complex project challenges using…

Senior General Accountant

Company: Wilson, Sonsini, Goodrich & Rosati

Location: Palo Alto, CA

Posted Jun 21, 2025

Support external audits and tax preparation processes, including providing requested schedules, documentation, and analysis. Bachelor’s Degree in Accounting.

Business Analyst, Senior (Immediate Opening)

Company: San Antonio Independent School District

Location: San Antonio, TX

Posted Jun 21, 2025

Field from an accredited college or university. Discovery meetings to document data flow, user requirements, system gaps, and desired future state.

Operations & Market Research Manager, LG NOVA (Contractor)

Company: LG Electronics

Location: Santa Clara, CA

Posted Jun 21, 2025

Bachelor's degree in Business Administration, Operations Management, Marketing, or a related field. Identify, design, and implement process improvements to…

Commercial Service Technician

Company: PriorityWorkforce

Location: Vernon, CA

Posted Jun 20, 2025

This role requires a strong technical background, excellent problem-solving skills, and the ability to work independently in the field.

Machinist

Company: Solar Turbines

Location: San Diego, CA

Posted Jun 20, 2025

Perform complete and independent setup of various machine tools and perform any operation within the machine's capacity, working from 0.I.S., prints, tapes,…

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.

Related Pages