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.

Production Designer, Presentations - Apple Ads Marketing

Company: Apple

Location: Cupertino, CA

Posted Aug 31, 2025

Translate initial marketing and design concepts into polished, high-quality presentations that meet technical specifications and brand guidelines Produce final…

Data Analyst, 3+ Years of Experience

Company: Snapchat

Location: Los Angeles, CA

Posted Aug 30, 2025

Bachelor's degree in analytics, data science, information systems, computer science, business, marketing, communications, economics, or a related area of study…

Sr. Accountant

Company: Robert Half

Location: Beverly Hills, CA

Posted Aug 29, 2025

Make follow-up calls to customers with outstanding balances to discuss payment arrangements. Bachelor’s degree in accounting, finance, or a related field is…

Trust & Safety, Threat Analyst/Risk Advisor

Company: Apple

Location: Cupertino, CA

Posted Aug 31, 2025

In-depth analysis and understanding of the UX and technical design of the feature, with a desire to test comprehensively the different functionalities and…

Data Scientist, Mid

Company: Booz Allen

Location: San Diego, CA

Posted Aug 29, 2025

You’ll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help…

Staff Technical Program Manager - Tech Strategy

Company: Intuit

Location: San Diego, CA

Posted Aug 30, 2025

Transform the Technology Ecosystem annual planning processes to refresh the Tech strategy, define input goals, and develop financial and operational plans to…

Software Engineer

Company: Fashion Nova

Location: Beverly Hills, CA

Posted Aug 29, 2025

NEW state-of-the-art HQ upcoming in 2025! Analyze and troubleshoot technical problems, proposing and implementing solutions as part of the team.

Retail Fragrances Sales Associate - CHANEL, Eastridge - Part Time

Company: Macy’s

Location: San Jose, CA

Posted Aug 31, 2025

Participate in pre-selling and sales-driving events to maximize sales. Frequent use of computers, handheld electronic equipment and cash registers.

Software Engineer - Data

Company: Apple

Location: San Diego, CA

Posted Aug 30, 2025

Embrace data platform thinking, design and develop data pipelines keeping security, scale, uptime and reliability in mind.

Analyst - Cyber Threat (DFIR)

Company: Silotech Group Inc

Location: San Antonio, TX

Posted Aug 30, 2025

Education: Bachelor’s or Master’s degree in Cybersecurity or related field; or 4 additional years of relevant experience.

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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