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Lead AI Research Engineer - 2026 AGI Initiative

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
7 Juli 2026
Deadline
7 Jul 2027

Job Description

Are you ready to define the technology landscape of 2026? Nexus Horizon Labs is seeking a visionary Lead AI Research Engineer to spearhead our cutting-edge AGI initiative.

We are building the infrastructure for the next generation of autonomous intelligence. In this role, you won't just optimize models; you will architect the very foundation of sentient computing. Join a team of world-class researchers pushing the boundaries of Deep Learning, Reinforcement Learning, and Neural Symbolic Integration.

Why join us?

  • Work on problems that don't exist yet.
  • Competitive equity and salary packages.
  • Flexible remote-first culture with top-tier equipment.

Responsibilities

  • Lead the design and training of large-scale foundational models targeting the 2026 AGI roadmap.
  • Optimize inference pipelines for real-time decision-making in autonomous agents.
  • Collaborate with cross-functional teams to integrate ethical AI principles into core architecture.
  • Research and implement novel architectures such as Mamba, Vision Transformers, and state-space models.
  • Mentor junior researchers and drive technical excellence within the engineering team.
  • Publish groundbreaking research at top-tier conferences (NeurIPS, ICML, ICLR).

Qualifications

  • Ph.D. in Computer Science, Mathematics, or a related field, or equivalent industry experience.
  • Deep expertise in PyTorch, TensorFlow, or JAX.
  • Proven track record of publishing high-impact papers in Machine Learning.
  • Strong mathematical foundation in linear algebra, calculus, and probability.
  • Experience with distributed training frameworks (Ray, Megatron-LM) at scale.
  • Experience with RLHF, Constitutional AI, or LLM fine-tuning techniques.

Required Skills

Artificial Intelligence Machine Learning Deep Learning PyTorch LLMs Python Reinforcement Learning Distributed Systems Research

Ready to Take This Challenge?

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