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.

AI Automation Implementation Specialist

Company: 5TH AXIS INC

Location: San Diego, CA

Posted Aug 05, 2025

Integrate AI tools (LLMs, computer vision, ML models) with ERP, CRM, MES, and other enterprise systems. Experience in manufacturing, supply chain, or industrial…

Full-Time Home Infusion Nurse (RN) - San Jose, CA

Company: Naven Health

Location: San Jose, CA

Posted Aug 05, 2025

Valid driver’s license and reliable transportation for travel. Active RN license in good standing. Minimum 2 years of clinical experience in infusion therapies,…

AppleCare Product Ops - Project Manager

Company: Apple

Location: Sunnyvale, CA

Posted Aug 05, 2025

Contribute to the design of scalable and robust system architectures for new business initiatives, ensuring alignment with technical and business requirements,…

Energy Consultants and Field Marketing Specialists

Company: Purelight Power

Location: San Diego, CA

Posted Aug 05, 2025

Candidates must have a valid driver’s license and reliable transportation, or an alternative means to consistently and reliably travel to and from multiple…

New Grad Registered Nurse (RN), PIH Health Downey Hospital, October 6, 2025 Cohort

Company: PIH HEALTH

Location: Downey, CA

Posted Aug 05, 2025

The RN New Graduate position provides direct nursing care including: assessment, plan of care, education, and evaluation for assigned patients.

New Grad Registered Nurse (RN), PIH Health Good Samaritan Hospital, October 6, 2025 Cohort

Company: PIH HEALTH

Location: Los Angeles, CA

Posted Aug 05, 2025

NIH Stroke Scale (NIHSS) certification within 6 months of employment (CVDOU, DOU). The RN New Graduate position provides direct nursing care including:…

Controller

Company: Robert Half

Location: Palo Alto, CA

Posted Aug 05, 2025

Help maintain reporting to LPs, including capital calls and distributions. Monitor cash flow and support capital planning across entities.

Applied Scientist

Company: Apple

Location: San Diego, CA

Posted Aug 05, 2025

You will work closely with manufacturing machine learning engineers around the world to understand the challenges and opportunities in the field.

Retail Service Associate, Full Time Days

Company: PIH HEALTH

Location: Los Angeles, CA

Posted Aug 05, 2025

The gift shop cashier is responsible for assisting the gift shop Supervisor and gift shop book keeper with daily operations such as training new volunteers,…

Laborer

Company: Penhall Company

Location: San Diego, CA

Posted Aug 05, 2025

The Construction Laborer is responsible for performing general construction, concrete removal, and interior demolition tasks in support of field operations.

Electrician - Level 4/5

Company: SpaceX

Location: Hawthorne, CA

Posted Aug 05, 2025

Valid CA driver's license. Journeyman or master electrician license. Perform electrical modifications, install electrical wiring and components to design and…

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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