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.

SALES ASSOCIATE - BAYVIEW Mini Mart, FLEX (0-19.5 HOURS)

Company: Navy Exchange Service Command

Location: San Diego, CA

Posted Aug 06, 2025

Using a Point-of-Sales system processing cash exchanges discounts gift cards credit cards debit cards cash handling including counting money and returning…

Machine Operator (wash) - graveyard shift

Company: Fabrinet

Location: Santa Clara, CA

Posted Aug 06, 2025

Required Skill: All machines related to manufacturing. Experience: 5+ years manufacturing experience. Support the organizational goals in achieving total…

Sr. Software Engineer- AI/ML, AWS Neuron Distributed Training

Company: Annapurna Labs (U.S.) Inc.

Location: Cupertino, CA

Posted Aug 06, 2025

Our org covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations.

Machine Learning - Compiler Engineer II, AWS Neuron, Annapurna Labs

Company: Annapurna Labs (U.S.) Inc.

Location: Cupertino, CA

Posted Aug 06, 2025

As you design and code solutions to help our team drive efficiencies in compiler architecture, you’ll create compiler optimization and verification passes,…

Machine Operator (underfill) - day shift

Company: Fabrinet

Location: Santa Clara, CA

Posted Aug 06, 2025

Required Skill: All machines related to manufacturing. Experience: 2+ years manufacturing experience. Support the organizational goals in achieving total…

Senior Information Security Compliance Analyst

Company: Motorola Solutions

Location: Culver City, CA

Posted Aug 06, 2025

The ideal candidate will have a strong understanding of compliance frameworks, excellent analytical skills, and the ability to communicate effectively with both…

Sr. Product Marketing Manager, Blink

Company: Amazon.com Services LLC

Location: Hawthorne, CA

Posted Aug 06, 2025

Create and execute content strategies that educate customers and showcase product value, including technical differentiators like proprietary chipset technology…

Senior Software Development Engineer, EBS, AWS DRS

Company: Amazon.com Services LLC

Location: Santa Clara, CA

Posted Aug 06, 2025

You'll develop automation testing to verify functionality as part of our CI/CD pipeline and provide technical leadership in the design and implementation of…

Hardware Dev Engineer (AWS Generative AI & ML Servers), AWS Generative AI & ML Servers

Company: Amazon Data Services, Inc.

Location: Cupertino, CA

Posted Aug 06, 2025

As a member of the Hardware Engineering Services team in this specific function, you will own and lead the design, development and root cause of a new segment…

Machine Learning Engineer – Generative AI & MLOps

Company: CloudBees

Location: Los Angeles, CA

Posted Aug 06, 2025

In this role, you will design, implement, and optimize ML workflows and models that support intelligent automation and insights across the CloudBees product…

Sr. Solutions Architect, ISV Strategic Accounts

Company: Amazon Web Services, Inc.

Location: Mountain View, CA

Posted Aug 06, 2025

AWS certification, such as, AWS Solutions Architect, or a similar cloud certification. For this role, we are looking for folks who have technical breadth…

Data Scientist – AI & Agentic Applications & Benchmarking

Company: CloudBees

Location: Los Angeles, CA

Posted Aug 06, 2025

Background in developer tools, DevOps, or platform engineering environments. Experience with AI/ML tools such as MLFlow, Hugging Face, or other Model / LLM…

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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