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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Visionaries

Quantum Leap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Shape the technological frontier at Quantum Leap Labs, where we're pioneering the next wave of AI innovation. As an AI Research Scientist, you'll develop breakthrough solutions that will define 2026 and beyond. Join our elite team of visionaries in a culture that rewards bold thinking and relentless curiosity.

We offer cutting-edge resources, flexible work arrangements, and competitive benefits including equity packages. This is your opportunity to leave an indelible mark on the future of artificial intelligence.

Responsibilities

  • Design and implement novel machine learning algorithms for next-gen autonomous systems
  • Lead cross-functional teams to prototype and validate AI solutions in quantum computing environments
  • Publish breakthrough research in top-tier AI/ML conferences and journals
  • Collaborate with product teams to translate research into commercial applications
  • Develop ethical AI frameworks ensuring responsible deployment by 2026
  • Secure federal and private grants for emerging AI research initiatives
  • Mentor junior researchers in advanced neural network architectures

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Proven expertise in deep learning frameworks (PyTorch, TensorFlow) and quantum computing
  • Published research in top-tier venues (NeurIPS, ICML, Nature AI)
  • Strong background in reinforcement learning and multi-agent systems
  • Experience with large-scale distributed computing environments (AWS/GCP)
  • Exceptional problem-solving skills and ability to communicate complex concepts
  • Portfolio demonstrating deployment of AI systems in production environments
  • Knowledge of emerging AI governance frameworks and ethical AI principles

Required Skills

Machine Learning Deep Learning Quantum Computing Python TensorFlow PyTorch Research Ethics Distributed Systems Reinforcement Learning

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