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Senior AI Research Scientist

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are seeking a visionary Senior AI Research Scientist to lead our advanced machine learning initiatives. At Nexus Horizon, we are building the next generation of generative AI models that will redefine human-computer interaction. You will work at the intersection of theoretical computer science and practical engineering, pushing the boundaries of what is possible in large language models and autonomous agents.

If you are passionate about ethical AI, deep learning architectures, and want to shape the future of technology in 2026, we want to hear from you.

Why Join Us?

  • Competitive compensation package and equity options.
  • Work with state-of-the-art hardware and cloud infrastructure.
  • Flexible remote-first culture with quarterly in-person team summits.

Responsibilities

  • Lead the design and implementation of novel deep learning algorithms, specifically focusing on transformer architectures and reinforcement learning.
  • Conduct rigorous research, publish findings in top-tier academic conferences (NeurIPS, ICML, ICLR), and file patents for proprietary technologies.
  • Collaborate closely with the engineering team to deploy research models into production environments, ensuring scalability and efficiency.
  • Define the technical roadmap for AI research projects, identifying emerging trends and technologies.
  • Mentor junior researchers and data scientists, fostering a culture of innovation and continuous learning.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
  • 5+ years of professional experience in research or applied machine learning roles.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Strong mathematical foundation in linear algebra, calculus, and probability theory.
  • Proven track record of publishing research and applying it to real-world problems.
  • Experience with distributed computing frameworks (Apache Spark, Ray) and cloud platforms (AWS, GCP).

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Generative AI Reinforcement Learning PhD Distributed Systems

Ready to Take This Challenge?

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