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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join QuantumLeap Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking an exceptional AI Research Scientist to develop groundbreaking machine learning models that will redefine industries. This role offers unparalleled opportunities to shape the future of autonomous systems, quantum computing integration, and ethical AI frameworks.

Our culture thrives on innovation, collaboration, and intellectual curiosity. You'll work alongside Nobel laureates and Turing Award winners in our state-of-the-art facility overlooking the Bay. We provide comprehensive benefits including equity, unlimited learning stipends, and flexible hybrid work arrangements.

Responsibilities

  • Design and implement novel deep learning architectures for next-generation autonomous systems
  • Lead cross-functional research initiatives integrating quantum computing with classical ML models
  • Develop ethical AI frameworks ensuring responsible deployment in sensitive domains
  • Author high-impact research papers for top-tier conferences (NeurIPS, ICML, ICLR)
  • Mentor junior researchers and foster collaborative innovation across departments
  • Translate theoretical breakthroughs into scalable production-ready solutions
  • Secure $2M+ in annual research grants through compelling proposal development

Qualifications

  • PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
  • 5+ years of applied research in deep learning with peer-reviewed publications
  • Expertise in at least two: NLP, computer vision, reinforcement learning, or quantum ML
  • Proficiency in PyTorch/TensorFlow with experience in distributed training frameworks
  • Strong background in computational complexity theory and algorithm optimization
  • Demonstrated ability to secure competitive research funding
  • Experience deploying models at scale in cloud environments (AWS/GCP/Azure)
  • Commitment to ethical AI development and transparent research practices

Required Skills

Machine Learning Deep Learning PyTorch TensorFlow Quantum Computing NLP Computer Vision Ethics in AI Distributed Systems Research Methodology

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