Job Description
We are looking for a visionary Senior AI Research Engineer to join our elite team at Nexus Horizon AI. As we approach the technological milestones of 2026, our mission is to pioneer the next generation of Artificial General Intelligence (AGI). If you are passionate about pushing the boundaries of machine learning and have a knack for solving unsolved problems, this is your opportunity to define the future.
In this role, you will lead cutting-edge research projects, mentor junior engineers, and collaborate with cross-functional teams to deploy state-of-the-art models into production environments. We offer a competitive compensation package, comprehensive benefits, and an environment that fosters radical innovation.
Responsibilities
- Architect Next-Gen Models: Design and implement novel neural network architectures aimed at achieving AGI capabilities by 2026.
- Research & Development: Conduct rigorous research to improve model efficiency, scalability, and accuracy in complex, real-world scenarios.
- Code Optimization: Optimize existing machine learning pipelines to reduce latency and improve throughput for high-volume applications.
- Mentorship: Guide a team of brilliant researchers and engineers, fostering a culture of continuous learning and technical excellence.
- Cross-Functional Collaboration: Work closely with product managers, data scientists, and engineers to translate theoretical research into practical, deployable solutions.
- Publication: Author high-impact research papers for top-tier conferences (NeurIPS, ICML, ICLR) to establish our thought leadership.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- Experience: Minimum of 5+ years of professional experience in AI research or software engineering.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Deep understanding of Deep Learning, NLP, or Computer Vision.
- Algorithmic Expertise: Strong background in optimization algorithms, distributed systems, and large-scale data processing.
- Problem Solving: Proven track record of tackling ambiguous problems and delivering innovative solutions under tight deadlines.
- Communication: Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.