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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Engineer - 2026 Vision

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to define the future of Artificial Intelligence? Nexus Future Labs is seeking a visionary Senior AI Research Engineer to lead our breakthrough initiatives aimed at the 2026 technology horizon. We are building the next generation of autonomous systems and generative models that will redefine human-computer interaction.

In this pivotal role, you will not just use existing tools; you will invent the architectures that will power the world in 2026 and beyond. You will work in a high-performance environment with state-of-the-art computing resources, collaborating with a team of world-class engineers and ethicists.

Responsibilities

  • Lead the research and development of cutting-edge Large Language Models (LLMs) and multimodal systems targeting deployment in 2026.
  • Design novel neural network architectures optimized for scalability and energy efficiency.
  • Implement and optimize algorithms using C++ and CUDA for high-performance computing clusters.
  • Collaborate with cross-functional teams to translate research findings into scalable production-ready software.
  • Contribute to open-source AI communities and publish high-impact research papers.
  • Mentor junior researchers and engineers, fostering a culture of innovation and continuous learning.

Qualifications

  • Ph.D. in Computer Science, Machine Learning, or a related quantitative field, or equivalent practical experience.
  • Minimum of 5 years of experience in deep learning, natural language processing, or computer vision.
  • Strong proficiency in Python, PyTorch, and TensorFlow frameworks.
  • Proven track record of publishing at top-tier conferences (NeurIPS, ICML, ICLR) or contributing to major open-source projects.
  • Deep understanding of transformer models, attention mechanisms, and distributed training strategies.
  • Excellent problem-solving skills and ability to thrive in a fast-paced, high-impact startup environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs GPT-4 Architecture CUDA C++ Research Distributed Systems

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