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.

Emerging Technology Project Manager

Company: H-E-B

Location: San Antonio, TX

Posted May 29, 2025

A related degree or comparable formal training, certification, or experience. Leads the team in conducting post implementation analysis to identify future…

ERP Project Manager

Company: Leanteq

Location: Milpitas, CA

Posted May 27, 2025

Bachelor's degree in Business Administration, Information Technology, or a related field. Experience with data analysis and reporting tools.

Business Process Engineer

Company: Analytica

Location: San Antonio, TX

Posted May 29, 2025

This role requires direct experience working within hospital settings or with patient-level healthcare data and involves close collaboration with cross-…

Software Engineering Manager

Company: Bobrick Washroom Equipment, Inc

Location: North Hollywood, CA

Posted May 28, 2025

Bachelor’s degree in Computer Science, Information Systems, or a related field. Communicate technical risks, project updates, and strategic recommendations in…

Product Analyst

Company: Warner Bros. Discovery

Location: Burbank, CA

Posted May 27, 2025

Bachelor's degree in a related field (e.g., statistics, data science, business, computer science) or equivalent experience.

Local CDL A Driver

Company: Airgas, Inc.

Location: North Hollywood, CA

Posted May 27, 2025

Maintain appropriate driver's license, medical card & endorsements. As the "face of Airgas", the delivery driver is responsible for safely and efficiently…

Data Scientist II (Remote)

Company: Vericast

Location: San Antonio, TX

Posted May 28, 2025

Expertise in analysis or design of experiments for standard and adhoc analysis, interpreting results to drive marketing strategies.

Electroplating Technician

Company: Fabric8Labs

Location: San Diego, CA

Posted May 27, 2025

Strong interest and aptitude in hands-on technical and mechanical work. Collaborate with engineers and technicians to study and interpret sample parts,…

Sous Chef

Company: Elephante Santa Monica

Location: Santa Monica, CA

Posted May 27, 2025

Strong leadership skills with the ability to develop and inspire a team. As *Sous Chef*, you’ll play a critical role in overseeing daily kitchen operations,…

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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