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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join Nexus Labs at the forefront of artificial intelligence innovation. We're seeking a visionary AI Research Scientist to architect breakthrough solutions that will redefine technology by 2026. Collaborate with world-class teams in our state-of-the-art San Francisco lab to pioneer next-generation machine learning systems.

As a key member of our Future Technologies division, you'll develop novel algorithms for autonomous systems, quantum-optimized neural networks, and ethical AI frameworks. This role offers unparalleled opportunities to publish research, lead patent initiatives, and shape the future of human-AI collaboration.

Responsibilities

  • Architect and implement cutting-edge ML/DL models for 2026-era autonomous systems
  • Lead quantum-optimized neural network research and prototyping
  • Develop ethical AI frameworks ensuring bias mitigation and transparency
  • Collaborate with cross-functional teams to integrate research into production systems
  • Publish peer-reviewed papers and contribute to open-source AI initiatives
  • Mentor junior researchers and foster innovation through hackathons
  • Secure external funding through NSF and DARPA proposals

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Expertise in transformer architectures, reinforcement learning, and quantum computing
  • Proven track record of publishing at NeurIPS/ICML/ICLR venues
  • Proficiency in PyTorch, TensorFlow, and distributed ML frameworks
  • Strong background in ethical AI and responsible development practices
  • Experience with large-scale model deployment on cloud infrastructure
  • Demonstrated ability to secure competitive research grants

Required Skills

Machine Learning Deep Learning Quantum Computing Ethical AI PyTorch TensorFlow Research Autonomous Systems

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