Ai-Enhanced Technology Jobs in San Francisco, CA

499,028 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.

Associate Software Engineer, Backend Python

Company: PayPal

Location: San Jose, CA

Posted Apr 22, 2025

You'll design, develop, and optimize core systems that power millions of transactions daily, directly impacting our customers' experiences and our company's…

Marketing Director

Company: X-Camp Academy

Location: Saratoga, CA

Posted Apr 22, 2025

Bachelor's degree in Marketing, Business, or a related field is preferred. Proven track record of developing and executing successful marketing strategies.

Software Engineer, Backend Python

Company: PayPal

Location: San Jose, CA

Posted Apr 22, 2025

You'll design, develop, and optimize core systems that power millions of transactions daily, directly impacting our customers' experiences and our company's…

Senior Marketing Manager, Anesthesiology+

Company: KARL STORZ Endoscopy - America

Location: Los Angeles, CA

Posted Apr 21, 2025

Drive market insights through customer engagement and field collaboration. Partner with cross-functional teams in sales, technical services, regulatory, and…

Audio Visual Animator

Company: Quantum Dynamics, Inc.

Location: San Diego, CA

Posted Apr 22, 2025

Collaborate with senior leadership to develop and implement strategic messaging across internal and external platforms.

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