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.

Data Analyst, Operations - USDS

Company: TikTok

Location: San Jose, CA

Posted Jun 23, 2025

Experience in data science programming languages (e.g., SQL, Python, R) - Experience working with Business Insights tools, e.g., Tableau, Power BI, etc.

CNC Swiss Screw Machinist (2nd Shift)

Company: ITT Cannon LLC

Location: El Cajon, CA

Posted Jun 22, 2025

High School diploma or GED required; technical training or certification preferred. Ability to read and interpret blueprints and technical drawings.

HVAC Service Technician - San Diego, CA

Company: Trane Technologies

Location: San Diego, CA

Posted Jun 24, 2025

Must possess a valid driver’s license for a minimum of 12 months, with no major or frequent traffic violations including, but not limited to:

Senior Software Engineer, AV Core Services

Company: General Motors

Location: Mountain View, CA

Posted Jun 24, 2025

Our primary function is to develop and implement products that help them efficiently manage our extensive data collection vehicle fleet.

Senior Specialist - Software Engineering

Company: LTIMindtree

Location: Newark, CA

Posted Jun 23, 2025

Salesforce platform developer certification is a plus not mandatory. 2 Knowledge of frontend development technologies such as JavaScript JS Frameworks AngularJS…

Graphic Production Designer, Apple Ads Marketing

Company: Apple

Location: Cupertino, CA

Posted Jun 22, 2025

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

Hedge Fund Sales Associate

Company: Confidential

Location: Los Angeles, CA

Posted Jun 23, 2025

Bachelor’s in Finance, Business, Economics or related field. Partner with leadership to design and refine outbound sales strategy. What We’re Looking For*.

Associate Manager, Brand Marketing

Company: Warner Bros. Discovery

Location: Burbank, CA

Posted Jun 24, 2025

Bachelor’s Degree in business or a related field. Assist in the development and execution of marketing strategies for assigned titles or franchises, under the…

Data Analyst, Operations - USDS

Company: TikTok

Location: Los Angeles, CA

Posted Jun 23, 2025

Experience in data science programming languages (e.g., SQL, Python, R) - Experience working with Business Insights tools, e.g., Tableau, Power BI, etc.

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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