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Senior AI Research Engineer - Project 2026

Nexus AI Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Nexus AI Labs is pioneering the future of artificial intelligence. We are currently seeking a visionary Senior AI Research Engineer to join our elite team working on Project 2026—our flagship initiative dedicated to developing the next generation of autonomous, general-purpose AI systems.

In this role, you will not just write code; you will define the architectural paradigms of tomorrow. You will work on groundbreaking research that pushes the boundaries of deep learning, large language models, and cognitive architectures. If you are passionate about solving the hardest problems in AI and want to leave a lasting legacy in the industry, we want to meet you.

Responsibilities

  • Lead the end-to-end research and development of core AI models for Project 2026, focusing on scalability and efficiency.
  • Design and implement novel training pipelines and optimization techniques for massive neural networks.
  • Collaborate closely with engineering teams to bridge the gap between theoretical research and production deployment.
  • Conduct rigorous experimentation, analysis, and peer review to drive continuous improvement in model performance.
  • Stay at the forefront of the academic landscape, integrating cutting-edge findings into our development roadmap.
  • Mentor junior researchers and contribute to a culture of innovation and technical excellence.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of experience in deep learning, machine learning research, or a related role.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of transformer architectures, natural language processing (NLP), and reinforcement learning.
  • Proven track record of publishing research in top-tier conferences (NeurIPS, ICML, ACL, etc.).
  • Demonstrated ability to tackle complex problems with innovative solutions.

Required Skills

Python PyTorch TensorFlow Deep Learning NLP Transformer Models LLMs Machine Learning Research Stanford MIT PhD Research Engineering

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