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AI Research Scientist - Future Technologies

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Innovations 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 applications that will define the next decade. Our multidisciplinary teams collaborate in state-of-the-art labs to solve humanity's most complex challenges through artificial intelligence, quantum computing, and biotechnology integration.

As a cornerstone of our Future Technologies Division, you'll work on projects that blur the lines between digital and physical realms, from autonomous systems that adapt to human behavior to neural interfaces that enhance cognitive capabilities. We offer competitive compensation, unlimited PTO, comprehensive health benefits, and a flexible work culture that prioritizes innovation and impact.

Responsibilities

  • Lead advanced R&D projects in generative AI, quantum machine learning, and human-AI collaboration systems
  • Design and implement novel neural architectures for real-time adaptive decision-making
  • Publish breakthrough research in top-tier journals/conferences and secure patents
  • Mentor cross-functional teams of engineers and data scientists
  • Collaborate with academic institutions and industry partners on open-source initiatives
  • Develop ethical frameworks for next-generation AI systems
  • Translate theoretical models into scalable prototypes with measurable societal impact

Qualifications

  • PhD in Computer Science, AI, Quantum Computing, or related field (or equivalent experience)
  • 5+ years of hands-on experience with deep learning frameworks (PyTorch/TensorFlow)
  • Publication record in NeurIPS/ICML/ICLR or equivalent top-tier venues
  • Expertise in quantum algorithms, neuromorphic computing, or biologically-inspired AI
  • Strong background in ethical AI development and responsible innovation
  • Proven ability to lead complex, multi-disciplinary research projects
  • Experience with cloud-based AI infrastructure (AWS/Azure/GCP)

Required Skills

AI Research Machine Learning Quantum Computing Neural Networks Deep Learning Python PyTorch TensorFlow Quantum Algorithms Ethics in AI

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