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Information Technology 🏢 Full Time ⭐️ Verified

AI Research Scientist - 2026 Innovations

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

Job Description

Join FutureTech Innovations at the forefront of technological evolution. We're seeking visionary AI Research Scientists to pioneer breakthroughs that will redefine 2026's digital landscape. In this role, you'll architect next-generation AI systems, collaborate with Nobel laureates, and transform theoretical concepts into revolutionary applications. Our state-of-the-art lab in San Francisco offers unparalleled resources to accelerate your research impact.

Why FutureTech? We provide industry-leading funding, flexible research parameters, and direct access to Fortune 500 partners. Our culture celebrates intellectual curiosity and rewards disruptive innovation with equity stakes and patent bonuses.

Responsibilities

  • Design and implement novel AI architectures for autonomous systems and human-machine interfaces
  • Lead cross-functional research teams in developing quantum-encrypted machine learning models
  • Publish 3+ peer-reviewed papers annually in top-tier AI/ML conferences
  • Collaborate with product teams to translate research into market-ready solutions
  • Secure $1M+ in annual research grants through NIH/NSF partnerships
  • Mentor PhD candidates and coordinate university research initiatives

Qualifications

  • PhD in Computer Science, AI, or related field with 3+ years of post-doctoral research
  • Proven track record of publishing in NeurIPS/ICML/ICLR conferences
  • Expertise in transformer architectures, reinforcement learning, and federated systems
  • Proficiency in PyTorch/TensorFlow and distributed computing frameworks
  • Experience securing federal research grants (SBIR/STTR preferred)
  • Portfolio demonstrating 2+ commercialized AI research applications
  • Strong background in ethics and bias mitigation for autonomous systems

Required Skills

AI Research Machine Learning Quantum Computing Reinforcement Learning PyTorch TensorFlow Federated Systems Ethics AI

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