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Advanced AI Research Engineer

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

Are you ready to architect the future of intelligence? Nexus Horizon Labs is seeking a visionary Advanced AI Research Engineer to lead the development of next-generation generative models targeting the 2026 technological horizon.

We are not just building software; we are defining the trajectory of artificial general intelligence. In this role, you will work on cutting-edge projects that push the boundaries of neural scaling, multimodal learning, and ethical AI alignment.

Why join us?

  • Work on systems that will define the next decade of human-computer interaction.
  • Competitive compensation package with equity options.
  • Flexible, remote-first culture with a San Francisco headquarters.

Join a team of world-class researchers and engineers dedicated to solving humanity's most complex challenges through advanced technology.

Responsibilities

  • Architect Neural Architectures: Design and implement novel deep learning models capable of scaling to billions of parameters.
  • Research Leadership: Lead internal research initiatives focused on Large Language Models (LLMs) and reinforcement learning.
  • Optimization: Develop and optimize training pipelines to reduce compute costs and improve inference speed.
  • Collaboration: Partner with cross-functional teams (product, engineering, ethics) to integrate research into scalable products.
  • Publication: Author high-impact papers for top-tier conferences (NeurIPS, ICML, ICLR) to establish thought leadership.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • Experience: 5+ years of experience in machine learning research or software engineering with a focus on AI.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and distributed training frameworks.
  • Mathematics: Strong foundation in linear algebra, calculus, and probability theory.
  • Innovation: Demonstrated track record of solving unstructured problems and shipping innovative solutions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Distributed Systems CUDA Research

Ready to Take This Challenge?

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