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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological innovation as we pioneer solutions for 2026 and beyond. We're seeking visionary AI Research Scientists to develop groundbreaking algorithms that will redefine industries. Our cutting-edge lab in San Francisco fosters a culture of bold experimentation, collaborative problem-solving, and rapid prototyping. You'll work with world-class teams to translate complex research into scalable AI systems that impact billions of lives.

What you'll achieve: Lead breakthrough research in generative AI, neural networks, and quantum-inspired computing. Publish in top-tier journals and contribute to open-source frameworks that shape the future of artificial intelligence. Your work will directly influence our product roadmap and position Nexus Labs as the industry leader in next-generation AI.

Responsibilities

  • Design and implement novel machine learning architectures for autonomous systems
  • Lead cross-functional teams in developing AI prototypes for real-world applications
  • Collaborate with quantum computing specialists to hybridize classical and quantum algorithms
  • Translate research findings into production-ready AI solutions with 99.9% reliability
  • Author high-impact research papers and present findings at premier conferences
  • Mentor junior researchers and foster an environment of intellectual curiosity

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years of research experience
  • Expertise in deep learning frameworks (PyTorch/TensorFlow) and distributed computing
  • Proven track record of publishing in NeurIPS/ICML/ICLR or equivalent tier venues
  • Strong background in reinforcement learning or generative adversarial networks
  • Experience with MLOps pipelines and deploying AI at scale
  • Ability to articulate complex concepts to both technical and non-technical stakeholders

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch Quantum Computing Reinforcement Learning MLOps

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