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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist (2026 Focus)

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

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking visionary AI Research Scientists to develop transformative machine learning models that will redefine industries. Our collaborative environment encourages bold experimentation and rapid prototyping, supported by cutting-edge infrastructure and world-class talent.

As a key member of our Future Horizons division, you'll work on projects spanning quantum-enhanced AI, autonomous systems, and ethical AI governance. We value creativity as much as technical expertise, offering competitive benefits, flexible work arrangements, and opportunities to publish groundbreaking research.

Responsibilities

  • Design and implement advanced neural network architectures for next-generation AI systems
  • Lead cross-functional research initiatives focused on 2026 technological challenges
  • Develop proprietary algorithms in quantum computing integration and federated learning
  • Collaborate with product teams to translate research into scalable commercial applications
  • Author peer-reviewed publications and contribute to open-source AI frameworks
  • Mentor junior researchers and foster innovation through weekly hackathons

Qualifications

  • PhD in Computer Science, Machine Learning, or related field with 5+ years of research experience
  • Proven expertise in transformer architectures, reinforcement learning, and generative models
  • Published record at NeurIPS/ICML/ICLR or equivalent top-tier AI conferences
  • Strong programming skills in Python, PyTorch, and distributed computing frameworks
  • Experience with quantum computing APIs or hardware acceleration (NVIDIA Cuda, TPUs)
  • Demonstrated ability to lead complex research projects with measurable impact

Required Skills

Machine Learning Deep Learning Neural Networks Quantum Computing Reinforcement Learning Generative AI PyTorch Python Research Leadership Quantum Algorithms

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