Job Description
We are looking for a brilliant AI Research Engineer to join our elite team and drive the vision for Project 2026.
In this pivotal role, you will architect the next generation of artificial intelligence systems that will define the technological landscape of the future. You will work at the intersection of deep learning, cognitive science, and scalable software engineering to build systems that are not only intelligent but also ethical and transformative.
At Nebula Future Labs, we don't just predict the future; we build it. If you are passionate about pushing the boundaries of what is possible with Large Language Models and Generative AI, this is your chance to make history.
Why Join Us?
- Work on groundbreaking AI initiatives that will impact billions of users.
- Competitive salary and equity package.
- Top-tier benefits and a fully remote-first culture.
Responsibilities
- Lead the research, design, and implementation of advanced machine learning algorithms and deep neural networks.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to deliver state-of-the-art AI solutions.
- Experiment with novel architectures and training methodologies to improve model accuracy, efficiency, and scalability.
- Publish high-impact research papers and contribute to the open-source community to establish thought leadership.
- Optimize model inference and deployment pipelines to ensure real-time performance in production environments.
- Mentor junior engineers and foster a culture of continuous learning and innovation within the research division.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, Robotics, or a related quantitative field.
- Proven experience (5+ years) in research roles within top-tier tech companies or academic institutions.
- Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
- Deep understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
- Track record of publishing in reputable conferences (NeurIPS, ICML, ACL, etc.) or open-source contributions.
- Excellent problem-solving skills and the ability to work independently in a fast-paced, ambiguous environment.