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Senior AI Research Engineer - Project 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Future Labs, a premier innovator in artificial intelligence, as a Senior AI Research Engineer for our flagship Project 2026. We are on a mission to architect the technological infrastructure for the next generation of intelligent systems. This is an opportunity to work at the bleeding edge of machine learning and quantum integration, defining the future of automation and human-computer interaction.

In this role, you will not just use existing tools; you will help build the future. You will lead the development of proprietary neural architectures designed to outperform current benchmarks by a significant margin. We offer a competitive salary, comprehensive benefits, and a culture that prioritizes intellectual curiosity and radical transparency.

Responsibilities

  • Architect and train state-of-the-art deep learning models for the Project 2026 initiative.
  • Research and implement novel algorithms to improve model efficiency, accuracy, and scalability.
  • Collaborate closely with quantum computing teams to integrate hybrid quantum-classical machine learning workflows.
  • Optimize model inference latency for deployment on edge devices and high-performance cloud clusters.
  • Mentor junior researchers and data scientists, conducting code reviews and technical workshops.
  • Translate complex technical research into clear, actionable documentation and presentations for stakeholders.
  • Stay abreast of the latest advancements in the AI industry to ensure our solutions remain at the forefront of innovation.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
  • Minimum of 5 years of experience in deep learning, machine learning, or computational neuroscience.
  • Expert proficiency in Python, PyTorch, TensorFlow, and C++.
  • Strong understanding of distributed computing systems and cloud infrastructure (AWS, GCP, or Azure).
  • Proven experience in NLP, Computer Vision, or Reinforcement Learning is highly desirable.
  • Demonstrated ability to publish research papers in top-tier conferences (NeurIPS, ICML, ICLR).
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, agile research environment.

Required Skills

Python PyTorch TensorFlow Deep Learning Machine Learning Distributed Systems AWS C++ NLP Computer Vision Reinforcement Learning

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