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AI Research Scientist - 2026 Vision

FutureHorizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

Join FutureHorizon Labs at the forefront of technological evolution as we pioneer solutions for 2026 and beyond. We're seeking visionary AI Research Scientists to transform theoretical concepts into groundbreaking innovations that will redefine human-machine collaboration. In this pivotal role, you'll lead cutting-edge research in generative AI, quantum computing integration, and ethical AI frameworks while collaborating with world-class teams in our state-of-the-art San Francisco facility.

Our hybrid work environment fosters creativity through flexible schedules, competitive benefits including equity packages, and dedicated innovation time. You'll contribute to projects that directly impact global industries while receiving mentorship from Nobel laureate advisors and access to our $50M annual research fund.

Responsibilities

  • Design and implement novel AI architectures for next-generation autonomous systems
  • Lead cross-functional research teams in developing quantum-enhanced machine learning models
  • Publish breakthrough findings in top-tier journals and industry conferences
  • Collaborate with product teams to translate research into scalable commercial solutions
  • Establish ethical AI governance frameworks for 2026 technological landscape
  • Secure $2M+ in research grants through compelling proposal development
  • Mentor PhD candidates and postdoctoral researchers in advanced AI methodologies

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry research experience
  • Published record in NeurIPS/ICML/ICLR with ≥10 peer-reviewed papers
  • Expertise in transformer architectures, diffusion models, and reinforcement learning
  • Proficiency in PyTorch, TensorFlow, and quantum computing frameworks
  • Demonstrated experience securing federal or corporate research funding
  • Deep understanding of AI ethics, bias mitigation, and regulatory compliance
  • Ability to communicate complex concepts to C-level executives and technical stakeholders

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch Quantum Computing AI Ethics Research Methodology Grant Writing Scientific Publishing

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