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.

Security Officer - Armed

Company: Allied Universal

Location: San Jose, CA

Posted Jun 30, 2025

Must have a valid driver's license in the state where the job is located and meet Allied Universal driver policy requirements for driving positions only.

Senior iOS Software Engineer

Company: APR Consulting Inc

Location: Los Angeles, CA

Posted Jun 28, 2025

Expert in software development domain and principles, including design patterns, code structure, programming languages, continuous integration, and deployment…

Software Engineer Backend - Kohler Ventures

Company: Kohler

Location: Palo Alto, CA

Posted Jun 30, 2025

Bachelor's degree in CS/engineering or related technical discipline from a reputed academic institution. Work directly with the Head of Software, software…

Environmental Services / Custodial Operations Manager 2

Company: Sodexo

Location: Los Angeles, CA

Posted Jun 28, 2025

Have experience improving patient satisfaction, and driving full compliance to HCAHPS, local, state and Joint Commission standards;

Prospect and Data Analyst

Company: Stanford University

Location: Stanford, CA

Posted Jun 27, 2025

As a key partner to the GSE’s External Relations leadership, the Prospect and Data Analyst will provide forward-thinking and forward-looking data analysis and…

Staff Software Engineer- Android

Company: General Motors

Location: Mountain View, CA

Posted Jun 28, 2025

Experience with Android emulator tools, ADB, and automotive debugging tools like CANoe or VehicleSpy. Bachelor’s degree in Computer Science, Electrical…

Senior Software Engineer

Company: Disney Entertainment and ESPN Product & Technology

Location: Glendale, CA

Posted Jun 28, 2025

As a valued technical member of this agile team, you will work closely with other Software Engineers, Systems Engineers, Product Owners, Project Management, and…

FedEx Class A CDL OTR Team Driver - upto .90 cpm

Company: Xpress Logix Systems

Location: San Diego, CA

Posted Jun 27, 2025

Valid Class A CDL with clean driving record. ✔ Supportive and driver-friendly staff. Current or Active FedEx-compliant drivers encouraged to apply.

SOUS CHEF- Santa Clara Convention Center

Company: Levy Sector

Location: Santa Clara, CA

Posted Jun 29, 2025

Summary: Prepares food in accordance with applicable federal, state and corporate standards, guidelines and regulations with established policies and procedures…

Industrial HVAC Maintenance Mechanic

Company: Employnet

Location: San Jose, CA

Posted Jun 27, 2025

Performs preventive maintenance, routine equipment repairs, and routine corrective maintenance on mechanical/HVAC equipment (compressors, air dryers, process…

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