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Senior AI Research Scientist: Generative Models (2026 Roadmap)

Nexus Horizon AI
New York
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are looking for a visionary Senior AI Research Scientist to lead our engineering team in defining the technology roadmap for 2026. As a pioneer in synthetic intelligence, Nexus Horizon AI is building the next generation of multimodal generative models. You will not just be maintaining current systems; you will architect the future of human-machine interaction.

Why Join Us?
β€’ Work on cutting-edge Generative AI that impacts billions of users.
β€’ Competitive equity package and top-tier salary.
β€’ Focus on ethical AI, safety, and scalability.

Responsibilities

  • Architect and implement state-of-the-art Generative AI models, specifically targeting the 2026 roadmap milestones.
  • Lead the research and development of Large Language Models (LLMs) and diffusion models.
  • Optimize model inference pipelines to reduce latency and improve throughput for real-time applications.
  • Collaborate with cross-functional teams (Product, Engineering, Legal) to ensure AI safety and compliance.
  • Design and execute rigorous A/B testing to validate model performance against benchmarks.
  • Mentor junior data scientists and engineers, fostering a culture of innovation and technical excellence.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
  • Proven experience (5+ years) in research and development of deep learning models, specifically Transformers and GANs.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of distributed systems and MLOps practices (Kubernetes, Docker, MLflow).
  • Experience publishing research in top-tier conferences (NeurIPS, ICML, ICLR).
  • Excellent communication skills with the ability to translate complex technical concepts into business value.

Required Skills

Python PyTorch TensorFlow Deep Learning NLP Large Language Models MLOps Kubernetes Distributed Systems

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