Ai-Enhanced Technology Jobs in San Francisco, CA

499,392 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.

Credit Modeling Associate

Company: PwC

Location: San Francisco, CA

Posted Feb 07, 2025

View Details Apply on The Muse

Staff Product Manager, Vehicle Software Updates

Company: General Motors

Location: Mountain View, CA

Posted Feb 07, 2025

View Details Apply on The Muse

Maintenance Manager ($1,500 Sign-On Bonus) - Prism

Company: Bozzuto

Location: San Francisco, CA

Posted Feb 07, 2025

View Details Apply on The Muse

Principal Software Engineer - Ad Platform

Company: Disney Entertainment and ESPN Product & Technology

Location: Glendale, CA

Posted Feb 07, 2025

As a hands-on technical leader, you will design data architectures that scale to handle terabytes-per-hour throughput, ensuring optimal performance, compliance,…

View Details Apply on SimplyHired

Silicon Validation Software Engineer- GPU IP Validation and Integration

Company: Apple

Location: Cupertino, CA

Posted Feb 07, 2025

View Details Apply on The Muse

Sr. Paralegal, Corporate Governance & Securities

Company: Visa

Location: San Francisco, CA

Posted Feb 07, 2025

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Cashier

Company: Kroger

Location: El Segundo, CA

Posted Feb 07, 2025

View Details Apply on The Muse

Business Development Representative - SMB IM

Company: AppFolio

Location: Santa Barbara, CA

Posted Feb 07, 2025

View Details Apply on The Muse

Part Time Associate Banker ME San Antonio East (30 hours)

Company: JPMorgan Chase

Location: San Antonio, TX

Posted Feb 07, 2025

View Details Apply on The Muse

Strategic Customer Success Manager

Company: Alteryx

Location: Irvine, CA

Posted Feb 07, 2025

View Details Apply on The Muse

Global Operations Associate

Company: Flexport

Location: Los Angeles, CA

Posted Feb 07, 2025

View Details Apply on The Muse

Data Engineer, Video Platform - USDS

Company: TikTok

Location: Mountain View, CA

Posted Feb 07, 2025

View Details Apply on The Muse

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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