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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Vision

FutureTech Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join FutureTech Innovations at the forefront of technological evolution as we build the intelligent systems that will define 2026. We're seeking visionary AI Research Scientists to pioneer breakthroughs in machine learning, autonomous systems, and human-AI collaboration. This is your chance to shape the future while working with industry-leading experts in our state-of-the-art San Francisco lab.

What You'll Experience:

  • Collaborative environment with Nobel laureates and Turing Award winners
  • Unlimited access to quantum computing resources
  • Competitive equity package and comprehensive benefits
  • Direct impact on products used by 500M+ users

Responsibilities

  • Lead research initiatives in generative AI, neural architecture search, and embodied intelligence
  • Develop novel algorithms for 2026-era autonomous decision-making systems
  • Publish groundbreaking findings in top-tier conferences (NeurIPS, ICML, ICLR)
  • Mentor junior researchers and cross-functional engineering teams
  • Translate theoretical innovations into scalable production systems
  • Secure $2M+ in annual research grants and partnerships
  • Represent FutureTech at global AI policy summits

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years industry experience
  • Published record in top-tier AI/ML conferences (h-index ≥15)
  • Expertise in PyTorch/TensorFlow, reinforcement learning, and distributed ML
  • Proven track record of shipping production AI systems serving 1M+ users
  • Strong background in ethics, safety, and alignment research
  • Experience securing DARPA/NIH grants or equivalent funding
  • Deep knowledge of quantum machine learning and neuromorphic computing

Required Skills

Machine Learning Deep Learning Reinforcement Learning PyTorch TensorFlow Quantum Computing Neural Architecture Search AI Ethics Autonomous Systems Generative AI Distributed ML

Ready to Take This Challenge?

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