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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Engineer - 2026 Horizon

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

Job Description

We are seeking a visionary Senior AI Research Engineer to spearhead our 2026 Horizon initiative. At Nexus Future Systems, we are not just predicting the future; we are architecting it. You will be at the forefront of developing next-generation Large Language Models and autonomous agents designed to redefine human-machine interaction. This is a unique opportunity to work in a high-performance environment where your research directly impacts the technological landscape of tomorrow.

Why Join Us?
  • Impactful Work: Build foundational AI models that will power the next decade of innovation.
  • Top-Tier Team: Collaborate with world-renowned researchers and engineers.
  • Flexible Environment: Hybrid work model supporting the best in class.

Key Responsibilities:
  • Lead R&D efforts for proprietary Generative AI models aligned with the 2026 roadmap.
  • Design and implement novel neural architectures to improve model efficiency and accuracy.
  • Conduct rigorous experimentation, validation, and performance benchmarking.
  • Publish high-impact research papers and contribute to open-source communities.
  • Collaborate with product and engineering teams to translate research into scalable solutions.
  • Mentor junior researchers and engineers, fostering a culture of technical excellence.

Qualifications:
  • Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Strong proficiency in Python and deep frameworks (PyTorch or TensorFlow).
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL, etc.).
  • Experience with distributed training, MLOps, and large-scale model deployment.
  • Excellent problem-solving skills and ability to work in a fast-paced, ambiguous environment.

Responsibilities

  • Lead the research and development of cutting-edge AI models for the 2026 roadmap.
  • Design and implement novel neural architectures to improve model efficiency and accuracy.
  • Conduct rigorous experimentation, validation, and performance benchmarking.
  • Collaborate with product and engineering teams to translate research into scalable solutions.
  • Mentor junior researchers and engineers, fostering a culture of technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Strong proficiency in Python and deep frameworks (PyTorch or TensorFlow).
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL, etc.).
  • Experience with distributed training, MLOps, and large-scale model deployment.
  • Excellent problem-solving skills and ability to work in a fast-paced, ambiguous environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP AI Research MLOps Generative AI

Ready to Take This Challenge?

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