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.

Manager 3, Customer Experience

Company: Intuit

Location: San Diego, CA

Posted Sep 06, 2025

Proven experience in service experience strategy, customer experience design, or related field with a focus on service delivery.

Data Analytics Engineer / Security / Los Angeles (Hybrid)

Company: Motion Recruitment

Location: Los Angeles, CA

Posted Sep 08, 2025

This role combines the technical rigor of data engineering with the practical impact of business intelligence, offering the opportunity to own foundational data…

Associate Project Manager

Company: Software Resources, Inc.

Location: Glendale, CA

Posted Sep 08, 2025

" Experience in coordinating creative projects in the realm of event production, graphic design, video production, and digital projects.

English Teacher

Company: Desert Sands Public Charter School

Location: Los Angeles, CA

Posted Sep 06, 2025

Model and guide students to develop strategies that foster independent learning skills such as, goal-setting, time management, and accessing/utilizing resources…

Control Systems Data Analyst

Company: Oasys Inc.

Location: San Antonio, TX

Posted Sep 08, 2025

Develop technical and operational views, reports, and summaries to provide leadership with a continuous, accurate, situational understanding and impact to…

Software Integrity Engineer - CoreOS Performance QE

Company: Apple

Location: San Diego, CA

Posted Sep 07, 2025

You'll also troubleshoot and debug automation issues, develop and modify test plans, and help ensure a seamless experience for our users.

Welder

Company: Hydraulics International, Inc.

Location: Chatsworth, CA

Posted Sep 06, 2025

Cultivate a strong rapport and working relationships with key engineering and manufacturing staff and demonstrate effective cross-functional collaboration with…

Staff Software Engineer, AI/Machine Learning

Company: PSEMI CORPORATION

Location: San Diego, CA

Posted Sep 08, 2025

As a Staff Software Engineer specializing in AI/ML, you will be entrusted with end-to-end ownership of designing, developing, and deploying state-of-the-art AI/…

Data Analytics Engineer / Security / Los Angeles (Hybrid)

Company: Motion Recruitment

Location: Los Angeles, CA

Posted Sep 08, 2025

This role combines the technical rigor of data engineering with the practical impact of business intelligence, offering the opportunity to own foundational data…

Senior Software Engineer - Data Cloud

Company: Apple

Location: San Diego, CA

Posted Sep 07, 2025

We are seeking a highly motivated software engineer to build scalable services, data extraction tools, infrastructure as code automation, and AI agents in a…

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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