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AI Research Engineer - Project 2026

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

Job Description

Nexus Future Tech is pioneering the next generation of artificial intelligence, and we are seeking a visionary AI Research Engineer to spearhead our groundbreaking "Project 2026." This strategic initiative aims to redefine the boundaries of generative models and predictive analytics for the decade ahead. If you are passionate about building the systems that will power the future, we want to hear from you.

In this pivotal role, you will work in a highly collaborative, agile environment, pushing the limits of what's possible with Large Language Models (LLMs) and autonomous agents.

Responsibilities

  • Design and implement state-of-the-art machine learning architectures specifically for the "Project 2026" initiative.
  • Optimize model inference speeds and reduce latency for real-time, high-volume applications.
  • Collaborate with cross-functional teams including data scientists, backend engineers, and product managers.
  • Conduct rigorous experimentation with novel neural network structures and reinforcement learning.
  • Ensure ethical AI practices and data privacy compliance across all research projects.
  • Document research findings and contribute to internal technical knowledge bases.
  • Mentor junior engineers and participate in rigorous code reviews.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • Extensive experience with Python, PyTorch, or TensorFlow.
  • Strong background in Natural Language Processing (NLP) and Deep Learning.
  • Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR).
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and MLOps pipelines.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, high-stakes environment.

Required Skills

Python PyTorch TensorFlow NLP Deep Learning MLOps AWS GCP Machine Learning Research

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