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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Research Engineer: Project 2026

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Nexus Future Systems is at the forefront of defining the trajectory of artificial intelligence. We are seeking a visionary Senior AI Research Engineer to join our elite 'Project 2026' division. In this high-impact role, you will be instrumental in architecting and training the next generation of Artificial General Intelligence (AGI) systems, pushing the boundaries of what is possible in machine reasoning, autonomy, and human-AI collaboration. You will work in a fast-paced, high-stakes environment where your innovations will directly shape the technological landscape of the future.

Responsibilities

  • Lead the architectural design and implementation of scalable, large-scale AI models targeting the 2026 roadmap.
  • Conduct cutting-edge research in Natural Language Processing (NLP), computer vision, and reinforcement learning to achieve AGI benchmarks.
  • Collaborate with cross-functional teams of ethicists, security experts, and product managers to ensure responsible AI development.
  • Optimize model performance for speed, accuracy, and resource efficiency on distributed computing clusters.
  • Publish high-impact research papers and present findings at leading global AI conferences.
  • Debug complex neural network architectures and drive the iteration cycle for model training pipelines.
  • Mentor junior researchers and engineers, fostering a culture of innovation and excellence.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Physics, or a related technical field with a focus on AI/ML.
  • Proven experience (5+ years) in developing state-of-the-art deep learning models, specifically with Large Language Models (LLMs).
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong background in statistical analysis, optimization algorithms, and distributed systems.
  • Demonstrated ability to work independently in ambiguous, high-pressure environments.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
  • U.S. Work Authorization required.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs AGI Reinforcement Learning Distributed Systems CUDA GPU Computing

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