Job Description
We are seeking a visionary Principal AI Research Engineer to architect the technological roadmap for 2026. At Nexus Horizon Labs, we are pushing the boundaries of artificial general intelligence (AGI). In this pivotal role, you will define the algorithms and neural architectures that will power our next-generation systems, bridging the gap between theoretical research and scalable production deployment. If you are passionate about shaping the future of technology and want to leave a lasting legacy in the AI landscape, we want to hear from you.
Why Join Us?
- Work with a world-class team of experts in deep learning and computational neuroscience.
- Competitive compensation package with equity options.
- Flexible remote-first policy with access to premium tech infrastructure.
- Opportunity to publish groundbreaking research and influence industry standards.
Responsibilities
- Define and execute the long-term AI research strategy for the 2026 product roadmap.
- Design and implement cutting-edge neural network architectures to solve complex, unsolved problems.
- Mentor junior researchers and engineers, fostering a culture of innovation and excellence.
- Collaborate with cross-functional teams including product managers and data scientists to translate research into production-ready features.
- Stay abreast of the latest academic papers and industry trends to ensure our technology remains at the forefront.
- Conduct rigorous experimentation and analysis to validate hypotheses and drive model performance.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on Artificial Intelligence.
- 5+ years of experience in research and development within the machine learning space.
- Deep proficiency in Python, PyTorch, or TensorFlow.
- Strong understanding of deep learning principles, including Transformers, GANs, or Reinforcement Learning.
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or patents.
- Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.