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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Scientist (2026 Horizon)

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

Job Description

Welcome to the future of technology. Nexus Future Labs is a forward-thinking technology firm dedicated to defining the landscape of 2026 and beyond. We are looking for a highly skilled Senior AI Research Scientist to lead our cutting-edge initiatives in Artificial General Intelligence (AGI) and neural architecture.

In this pivotal role, you won't just build models; you will architect the cognitive infrastructure of tomorrow. You will work directly with our executive leadership to translate futuristic concepts into deployable, scalable algorithms that solve complex global problems.

Responsibilities

  • Architect and deploy scalable machine learning models for the 2026 product suite and infrastructure.
  • Lead the research and development of next-generation neural networks and generative AI systems.
  • Define the ethical guidelines, safety protocols, and compliance standards for autonomous AI agents.
  • Mentor and guide a high-performance team of junior data scientists and researchers.
  • Collaborate with cross-functional product teams to integrate advanced AI into user-facing applications.
  • Present research findings and technical roadmaps to internal stakeholders and external investors.

Qualifications

  • PhD or Master's degree in Computer Science, Mathematics, Physics, or a related quantitative field.
  • 10+ years of professional experience in AI/ML, with a strong focus on Deep Learning or NLP.
  • Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Spark, Kubernetes).
  • A strong track record of publications in top-tier AI conferences (NeurIPS, ICML, ICLR) or patents.
  • Demonstrated experience in leading technical teams and managing complex R&D projects.
  • Experience with quantum computing concepts or edge AI deployment is a plus.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch TensorFlow Neural Networks NLP Data Science Leadership Research

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