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Lead AI Research Scientist (Future Systems)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

Are you ready to define the trajectory of artificial intelligence for the year 2026 and beyond? Nexus Future Labs is seeking a visionary Lead AI Research Scientist to spearhead our breakthrough initiatives. We are building the foundational architectures that will power the next era of human-machine symbiosis.

In this pivotal role, you will not just adapt to the future—you will build it. You will lead a world-class research team, publish seminal work in top-tier conferences, and directly influence the roadmap for our most ambitious AI products. If you are driven by the challenge of solving unsolved problems and thrive in a high-impact environment, we want to hear from you.

Responsibilities

  • Define Technical Vision: Establish and articulate the long-term research strategy for advanced AI systems, focusing on scalability and ethical alignment.
  • Lead Research Teams: Mentor and guide a diverse team of data scientists and engineers, fostering a culture of innovation and excellence.
  • Prototype & Deploy: Move concepts from theoretical papers to production-ready prototypes, ensuring robustness and efficiency.
  • Collaborate Cross-Functionally: Partner with product, engineering, and design teams to translate complex research into tangible user value.
  • Publications: Author and publish high-impact research papers at leading AI conferences (NeurIPS, ICML, ICLR) to establish industry thought leadership.

Qualifications

  • Education: PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • Experience: Minimum of 5 years of experience in industrial research or academic settings, with at least 2 years in a leadership role.
  • Technical Skills: Proficiency in deep learning frameworks (PyTorch, TensorFlow), large-scale distributed computing, and optimization techniques.
  • Innovation: A proven track record of delivering novel solutions to complex technical challenges.
  • Communication: Excellent written and verbal communication skills, with the ability to explain complex concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch Research Leadership Distributed Systems NLP Computer Vision

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