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2026 AI Research Scientist

NeuraLabs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join NeuraLabs at the forefront of artificial intelligence innovation as we shape the technological landscape of 2026. We're seeking a visionary AI Research Scientist to develop groundbreaking algorithms that will redefine human-computer interaction. This role offers unparalleled opportunities to collaborate with Nobel laureates and publish research in top-tier journals.

What You'll Experience:

  • Cutting-edge research environment with unlimited GPU resources
  • Competitive equity package in a pre-IPO unicorn
  • Flexible hybrid work model with quarterly offsites
  • Comprehensive health and wellness benefits

Responsibilities

  • Design and implement novel neural network architectures for next-gen AI systems
  • Lead cross-functional projects in quantum machine learning integration
  • Develop ethical AI frameworks for autonomous decision-making systems
  • Publish 3+ peer-reviewed papers annually in top-tier AI conferences
  • Mentor junior researchers and foster collaborative innovation culture
  • Secure $500K+ in annual research grants from industry partners
  • Translate theoretical breakthroughs into scalable production systems

Qualifications

  • PhD in Computer Science, Mathematics, or related field (or equivalent experience)
  • 5+ years of hands-on experience with transformer architectures and LLMs
  • Published record in NeurIPS/ICML/ICLR or equivalent tier conferences
  • Expertise in PyTorch/TensorFlow with distributed training optimization
  • Strong background in reinforcement learning and multi-agent systems
  • Proficiency in MLOps pipelines and cloud deployment (AWS/GCP)
  • Demonstrated ability to secure competitive research funding
  • Passion for ethical AI development and responsible innovation

Required Skills

Machine Learning Deep Learning Natural Language Processing Reinforcement Learning PyTorch TensorFlow MLOps Quantum Computing Research Ethics Distributed Systems

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