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Information Technology 🏢 Full Time ⭐️ Verified

AI/ML Research Scientist

FutureTech Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

Join FutureTech Innovations at the forefront of 2026's technological revolution. We're seeking visionary AI/ML Research Scientists to shape the next generation of intelligent systems. As a key member of our R&D team, you'll develop cutting-edge solutions for autonomous systems, quantum computing interfaces, and ethical AI frameworks. Collaborate with Nobel laureates and industry pioneers in our state-of-the-art Silicon Valley lab. We offer unparalleled resources, flexible work arrangements, and equity opportunities to transform your groundbreaking ideas into reality.

Responsibilities

  • Design and implement novel machine learning algorithms for next-gen autonomous systems
  • Lead quantum-AI hybrid model research to solve previously intractable computational problems
  • Develop ethical AI governance frameworks compliant with 2026 global regulations
  • Publish breakthrough research in top-tier journals and industry conferences
  • Mentor junior researchers and cross-functional engineering teams
  • Secure government and private research funding through compelling proposals
  • Partner with product teams to commercialize research innovations

Qualifications

  • PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Proven track record of publishing in NeurIPS/ICML/ICLR or equivalent tier conferences
  • Expertise in quantum machine learning and federated learning architectures
  • Strong background in ethical AI and bias mitigation techniques
  • Proficiency in PyTorch/TensorFlow and quantum computing frameworks (Qiskit/Cirq)
  • Experience securing $1M+ in research grants or corporate R&D funding
  • Exceptional problem-solving skills for complex multi-disciplinary challenges

Required Skills

Machine Learning Quantum Computing AI Ethics Research PyTorch TensorFlow Qiskit Federated Learning

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