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Senior AI Research Engineer | San Francisco, CA

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are on the precipice of a new era in artificial intelligence. As we look toward 2026, Nexus Horizon is seeking a visionary Senior AI Research Engineer to lead our advanced neural architecture projects. You won't just be building models; you will be architecting the intelligence that will power the next generation of global infrastructure. This role requires a deep understanding of scalable systems and a passion for solving unsolved problems in generative AI and predictive analytics.

Why Join Us?
At Nexus Horizon, we are not just predicting the future; we are engineering it. You will have the autonomy to explore uncharted territories in AI, backed by a team of world-class engineers and data scientists. We offer competitive compensation, equity packages, and a culture that prioritizes innovation, work-life balance, and continuous learning.

Responsibilities

  • Design and implement state-of-the-art deep learning models optimized for high-scale production environments.
  • Conduct cutting-edge research in natural language processing, computer vision, and reinforcement learning.
  • Collaborate closely with the engineering team to translate research findings into robust, scalable software.
  • Define technical roadmaps for AI features leading up to the 2026 launch cycle.
  • Mentor junior researchers and contribute to a culture of innovation and technical excellence.
  • Stay ahead of the curve by analyzing emerging trends in AI to keep our technology stack competitive.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related quantitative field.
  • 5+ years of professional experience in machine learning, deep learning, or AI research.
  • Strong proficiency in Python, PyTorch, TensorFlow, and CUDA.
  • Experience with large-scale distributed systems and GPU optimization.
  • Demonstrated ability to publish in top-tier conferences (NeurIPS, ICML, ICLR) or contribute to open-source AI libraries.
  • Exceptional problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision CUDA Distributed Systems

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