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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

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

Job Description

Shape the future of technology at Nexus Labs! We're pioneering breakthrough AI systems for 2026 and beyond. Join our elite research team in San Francisco to develop transformative machine learning models that will redefine industries. This role offers unparalleled opportunities to work with quantum computing, neural architecture search, and ethical AI frameworks in a collaborative, innovation-driven environment.

As a key architect of tomorrow's AI landscape, you'll collaborate with Nobel laureates and industry disruptors while accessing cutting-edge resources. We offer competitive equity packages, unlimited learning stipends, and flexible remote options. If you're passionate about solving humanity's greatest challenges through AI, apply now to lead the next technological revolution.

Responsibilities

  • Design and implement novel deep learning architectures for 2026-era applications
  • Lead quantum-AI hybrid system research and experimental validation
  • Develop ethical AI frameworks ensuring responsible deployment
  • Collaborate with cross-functional teams to translate research into production systems
  • Publish breakthrough findings in top-tier AI conferences (NeurIPS, ICML)
  • Mentor junior researchers and foster innovation through hackathons
  • Secure federal and private research grants for frontier AI projects

Qualifications

  • PhD in Computer Science/AI or equivalent with 3+ years industry experience
  • Expertise in transformer architectures, reinforcement learning, and MLOps
  • Published record in top-tier AI conferences (NeurIPS/ICML/ICLR)
  • Proficiency in PyTorch/TensorFlow and distributed computing frameworks
  • Strong background in AI ethics and bias mitigation techniques
  • Experience with quantum computing APIs (Qiskit, Cirq) preferred
  • Exceptional problem-solving skills with complex mathematical foundations
  • Track record of leading cross-functional AI research initiatives

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch Quantum Computing Neural Architecture Search AI Ethics MLOps Research

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