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AI Research Scientist (2026)

QuantumLeap Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join QuantumLeap Labs at the forefront of AI innovation as we pioneer next-generation systems for 2026 and beyond. We're seeking visionary AI Research Scientists to develop breakthrough solutions that will redefine human-machine interaction. Our state-of-the-art lab in San Francisco offers unparalleled resources for research, collaboration, and impact. This role combines deep technical expertise with creative problem-solving to solve humanity's most complex challenges.

At QuantumLeap, you'll work alongside Nobel laureates and Turing Award winners in an environment that values intellectual curiosity and disruptive thinking. We offer competitive compensation, flexible work arrangements, and opportunities to publish in top-tier journals while contributing to open-source initiatives.

Responsibilities

  • Design and implement novel AI architectures for next-generation autonomous systems
  • Lead research in quantum machine learning and neuromorphic computing
  • Collaborate with cross-functional teams to prototype and validate AI solutions
  • Publish groundbreaking research in top-tier conferences and journals
  • Develop scalable algorithms for real-world deployment in 2026-era applications
  • Mentor junior researchers and foster innovation through internal hackathons
  • Secure external funding through NSF and DARPA grant proposals

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years of research experience
  • Expertise in transformer architectures, reinforcement learning, and generative models
  • Published record in NeurIPS, ICML, or equivalent top-tier venues
  • Proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks
  • Demonstrated experience with large-scale model training and optimization
  • Strong background in ethics and safety for advanced AI systems
  • Ability to translate theoretical research into practical applications
  • Excellent communication skills for technical and non-technical audiences

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch Quantum Computing Research Data Science

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