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Senior AI Research Engineer

Nexus Future Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
1 Juni 2026
Deadline
1 Jun 2027

Job Description

Are you ready to shape the technological landscape of tomorrow? Nexus Future Systems is seeking a visionary Senior AI Research Engineer to drive our next-generation neural architecture projects. As we prepare for the technological leap of 2026, you will define the standards for the next era of intelligent computing.

We are not just building software; we are architecting the future. We offer a competitive salary, substantial equity packages, and a remote-first culture that fosters innovation and autonomy. If you are passionate about pushing the boundaries of Artificial General Intelligence, this is your opportunity to lead.

Responsibilities

  • Lead the research and development of cutting-edge AI models targeting deployment in the 2026 roadmap.
  • Architect scalable machine learning pipelines capable of handling high-volume data streams in real-time.
  • Collaborate closely with product and engineering teams to translate theoretical research into production-ready applications.
  • Mentor junior engineers and researchers, fostering a culture of technical excellence and continuous learning.
  • Publish patents and whitepapers in top-tier AI conferences to establish thought leadership.
  • Optimize model inference speed and reduce latency for edge deployment scenarios.
  • Stay abreast of the latest advancements in the AI ecosystem to integrate novel techniques into our core stack.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of professional experience in machine learning, deep learning, or NLP.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong background in Natural Language Processing (NLP) or Computer Vision architectures.
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Demonstrated ability to publish in reputable conferences (NeurIPS, ICML, ACL).

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP AWS GCP Docker Kubernetes NeurIPS Research

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