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AI Research Lead | 2026 Horizon

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 140.000 – USD 190.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary AI Research Lead to spearhead our initiatives for the 2026 technological horizon. In this pivotal role, you will bridge the gap between theoretical breakthroughs and scalable production systems, focusing on next-generation neural architectures and generative AI models designed to redefine human-computer interaction.

At Nexus Horizon Labs, we don't just predict the future; we engineer it. You will work with a world-class team of engineers, ethicists, and designers to build the foundational models that will power the next decade of digital innovation.

Responsibilities

  • Lead the research and development of advanced Generative AI and Large Language Model architectures tailored for 2026 market requirements.
  • Design and implement novel neural interface protocols to enhance user experience in spatial computing environments.
  • Collaborate with cross-functional teams to translate complex research concepts into production-ready software solutions.
  • Optimize model inference latency and efficiency for edge devices and cloud infrastructure.
  • Mentor junior researchers and data scientists, fostering a culture of innovation and continuous learning.
  • Stay abreast of global AI trends and regulatory frameworks to ensure our technology remains compliant and cutting-edge.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 5+ years of experience in machine learning research, with a proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR).
  • Deep expertise in Python, PyTorch, and TensorFlow.
  • Strong understanding of deep learning principles, including Transformers, Diffusion Models, and Reinforcement Learning.
  • Experience with data pipeline management and MLOps practices.
  • Excellent communication skills, with the ability to articulate complex technical ideas to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Generative AI MLOps Spatial Computing

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