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AI Research Scientist (2026)

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of 2026's AI revolution! We're pioneering next-generation neural architectures that will redefine human-computer interaction. As an AI Research Scientist, you'll collaborate with Nobel laureates and Turing Award winners to develop ethical, scalable AI systems for healthcare, climate modeling, and autonomous robotics. Our state-of-the-art facility in San Francisco offers unparalleled resources—including quantum computing access—and a culture that celebrates bold innovation.

We provide comprehensive benefits including equity packages, relocation assistance, and flexible hybrid work arrangements. Shape the future with us!

Responsibilities

  • Design and implement novel deep learning architectures for multi-modal data processing
  • Lead cross-functional teams in developing ethical AI frameworks aligned with 2026 regulatory standards
  • Publish breakthrough research in top-tier AI conferences (NeurIPS, ICML, ICLR)
  • Optimize algorithms for quantum-accelerated computing environments
  • Collaborate with product teams to prototype AI-driven solutions for Fortune 500 clients
  • Mentor junior researchers through our 2026 AI Fellowship Program
  • Secure research funding through DARPA and NSF grants

Qualifications

  • PhD in Computer Science, AI, or related field (2020-2025 graduates encouraged)
  • 3+ years of industry experience with transformer models and reinforcement learning
  • Published work in top-tier AI conferences or journals
  • Proficiency in PyTorch 3.0, TensorFlow Quantum, and HPC frameworks
  • Expertise in ethical AI governance frameworks (EU AI Act 2025, US AI Bill of Rights)
  • Strong background in computational neuroscience or neuromorphic computing
  • Experience securing federal research grants
  • Portfolio demonstrating deployed AI systems with measurable impact

Required Skills

Machine Learning Deep Learning Quantum Computing Neural Networks Reinforcement Learning PyTorch TensorFlow AI Ethics Research Data Science Python HPC Neuromorphic Computing

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