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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Engineer

Nexus Future Labs
New York
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join the Vanguard of Artificial Intelligence

Nexus Future Labs is pioneering the next generation of artificial intelligence. We are looking for a visionary Senior AI Research Engineer to lead our research initiatives focused on Large Language Models and Generative AI architectures.

In this role, you will not just implement existing solutions; you will architect the algorithms that will define the industry landscape through 2026 and beyond. We offer a competitive compensation package, equity options, and an environment that fosters radical innovation.

Responsibilities

  • Architect & Develop: Design and implement cutting-edge machine learning models and deep learning algorithms to solve complex, unstructured problems.
  • Research Leadership: Lead internal research projects and publish findings in top-tier conferences (NeurIPS, ICML, etc.) to establish our thought leadership.
  • Production Deployment: Translate research prototypes into scalable, production-ready services using MLOps best practices.
  • Cross-Functional Collaboration: Partner with product managers and software engineers to integrate AI capabilities seamlessly into user-facing applications.
  • Mentorship: Guide junior data scientists and engineers, fostering a culture of continuous learning and technical excellence.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field with a focus on AI/ML.
  • Experience: 5+ years of professional experience in machine learning research and engineering.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Apache Spark, Ray).
  • Modeling: Deep understanding of Neural Networks, Transformers, and NLP techniques.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Natural Language Processing MLOps Distributed Systems

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