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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Engineer - Project 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are pioneering the technological landscape for the year 2026 and beyond. At Nexus Future Labs, we are not just building software; we are engineering the future of human-machine interaction. As a Senior AI Research Engineer, you will be the architect of our flagship 'Project 2026' initiative, focusing on next-generation Generative AI and Quantum-Inspired Computing models.

Join a team of world-class thinkers, disruptors, and creators. If you are passionate about pushing the boundaries of what is possible and want to leave a lasting legacy in the tech industry, this is your stage.

Responsibilities

  • Lead Research Development: Spearhead the research and development of cutting-edge Large Language Models (LLMs) and multimodal systems aimed at the 2026 product release.
  • Architecture Design: Design scalable neural network architectures that optimize for performance, energy efficiency, and ethical AI compliance.
  • Technical Leadership: Mentor junior researchers and data scientists, fostering a culture of innovation and continuous learning.
  • Prototyping & Implementation: Move quickly from theoretical concepts to production-ready prototypes using Python, PyTorch, and TensorRT.
  • Publication & Collaboration: Publish high-impact research papers and collaborate with industry leaders to set new benchmarks in AI safety and capability.

Qualifications

  • Education: M.S. or Ph.D. in Computer Science, Machine Learning, Mathematics, or a related field.
  • Experience: 5+ years of professional experience in deep learning, natural language processing (NLP), or computer vision.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
  • Knowledge: Deep understanding of transformer architectures, attention mechanisms, and distributed training strategies.
  • Soft Skills: Exceptional problem-solving abilities and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Deep Learning NLP Machine Learning Research AI Neural Networks Transformers

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