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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Research Engineer

Nebula Core Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are pioneering the next generation of artificial intelligence to shape the technological landscape of 2026 and beyond. As a Senior AI Research Engineer at Nebula Core Systems, you will be at the forefront of developing scalable machine learning models and neural architectures that drive our core products. We are looking for a visionary problem solver who is passionate about pushing the boundaries of what is possible with Large Language Models and Generative AI.

Why Join Us?

  • Work on projects that redefine industry standards.
  • Competitive compensation and equity package.
  • Access to cutting-edge hardware and cloud resources.

The Role

You will design, train, and deploy state-of-the-art deep learning models. This is not just a coding role; it is a research and architectural position where your decisions will impact millions of users.

Responsibilities

  • Model Architecture: Design and implement novel neural network architectures for large-scale NLP and computer vision tasks.
  • Research & Development: Conduct cutting-edge research to improve model accuracy, efficiency, and reduce inference costs.
  • Production Deployment: Oversee the end-to-end deployment of ML models into production environments using Kubernetes and cloud-native technologies.
  • Team Leadership: Mentor junior engineers and data scientists, conducting code reviews and architectural discussions.
  • Data Strategy: Collaborate with data engineers to optimize data pipelines and ensure high-quality training datasets.

Qualifications

  • Education: MS or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: 5+ years of professional experience in machine learning, deep learning, or AI research.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of distributed computing systems.
  • Problem Solving: Proven track record of solving complex, open-ended engineering challenges.
  • Communication: Excellent written and verbal communication skills for technical documentation and presentations.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Kubernetes AWS Distributed Systems Research

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