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Senior AI Research Engineer (2026 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are Nexus Future Labs, a premier research organization dedicated to defining the technological landscape of 2026 and beyond. We are seeking a visionary Senior AI Research Engineer to lead our cutting-edge initiatives in Agentic AI and Autonomous Systems. You will be at the forefront of the next industrial revolution, building intelligent systems that redefine human-machine interaction.

Why Join Us?
β€’ Work on 2026-grade technology today.
β€’ Competitive equity and top-tier compensation.
β€’ Collaborate with world-class researchers and engineers.

The Role:

You will be responsible for the end-to-end development of next-generation Large Language Models (LLMs) and multi-agent systems. Your work will directly impact how businesses operate in the future.

Responsibilities

  • Design and implement state-of-the-art transformer architectures and reinforcement learning algorithms for autonomous agents.
  • Lead research initiatives focused on LLM alignment, reasoning capabilities, and memory architectures.
  • Optimize model inference pipelines to ensure sub-millisecond latency for real-time applications.
  • Collaborate with cross-functional teams to translate research findings into scalable production products.
  • Publish high-impact papers and contribute to the open-source community in AI.
  • Mentor junior researchers and PhD candidates within the 2026 AI division.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on Machine Learning.
  • 5+ years of experience in deep learning, natural language processing, or reinforcement learning.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Proven track record of publishing at top-tier conferences (NeurIPS, ICML, ICLR) or leading open-source projects.
  • Strong mathematical foundation in linear algebra, probability, and optimization.
  • Demonstrated ability to lead technical projects from conception to deployment.

Required Skills

Python PyTorch TensorFlow Machine Learning NLP LLM Generative AI Reinforcement Learning Deep Learning CUDA Kubernetes

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