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Senior AI Research Scientist - Project 2026

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are on a mission to define the technological landscape of Project 2026. Nexus Horizon AI is seeking a visionary Senior AI Research Scientist to lead our cutting-edge initiatives in Generative AI and Predictive Modeling.

In this pivotal role, you will not just use existing tools; you will architect the algorithms that will power the next generation of intelligent systems. You will work in a collaborative, high-performance environment alongside world-class engineers and data scientists. If you are passionate about pushing the boundaries of what is possible and want to leave a lasting legacy in the tech industry, we want to hear from you.

Responsibilities

  • Lead Research Initiatives: Spearhead the development of novel machine learning architectures and models focused on the 2026 roadmap.
  • Prototype & Deploy: Translate theoretical research into scalable prototypes and deployable production models.
  • Collaborate: Work closely with cross-functional teams of engineers, product managers, and designers to integrate AI solutions.
  • Optimization: Continuously improve model accuracy, efficiency, and inference speed.
  • Publication: Author and present research papers at top-tier conferences and journals to establish thought leadership.
  • Mentorship: Mentor junior researchers and engineers, fostering a culture of innovation and technical excellence.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
  • Experience: 5+ years of professional experience in AI/ML research and development.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Problem Solving: Exceptional ability to solve complex mathematical and algorithmic problems.
  • Communication: Strong written and verbal communication skills, with the ability to explain complex technical concepts to diverse audiences.
  • Agility: Experience working in fast-paced, agile environments with tight iteration cycles.

Required Skills

Python PyTorch TensorFlow NLP Machine Learning Deep Learning Research Algorithms San Francisco California US

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