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Senior AI Research Scientist – 2026 Vision

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to define the future of artificial intelligence? Nexus Horizon is seeking a visionary Senior AI Research Scientist to lead our 2026 roadmap. In this pivotal role, you will not just adapt to emerging trends; you will architect the next generation of Agentic AI systems that will redefine human-computer interaction.

We are looking for a thought leader who thrives in ambiguity and possesses the technical prowess to bridge the gap between theoretical breakthroughs and scalable production solutions.

Why Join Us?

  • Work at the forefront of Neuromorphic Computing and Autonomous Agents.
  • Competitive equity package and benefits.
  • Access to state-of-the-art compute clusters.

Responsibilities

  • Strategic Roadmapping: Define and execute the technical vision for Nexus Horizon’s AI capabilities leading up to and beyond 2026, focusing on self-improving models.
  • Research Leadership: Spearhead research in Large Language Models (LLMs), reinforcement learning, and multimodal synthesis to solve complex, unsolved problems.
  • Paper Publication: Author and publish high-impact research papers in top-tier conferences (NeurIPS, ICML, ICLR) to establish thought leadership.
  • Collaboration: Partner with product engineering teams to translate academic research into deployable, high-performance software products.
  • Mentorship: Mentor junior researchers and data scientists, fostering a culture of innovation and continuous learning.

Qualifications

  • Education: PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • Experience: Minimum 5-7 years of experience in research roles at top-tier tech companies or academic institutions.
  • Technical Skills: Deep expertise in PyTorch, TensorFlow, or JAX. Strong understanding of transformer architectures and diffusion models.
  • Programming: Proficiency in Python and C++ with a track record of optimizing models for inference speed and memory efficiency.
  • Communication: Exceptional ability to communicate complex technical concepts to diverse stakeholders and the broader research community.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Research Algorithm Design Neuromorphic Computing Autonomous Agents

Ready to Take This Challenge?

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