Job Description
We are on a mission to redefine the technological landscape for the year 2026. NexaCore Systems is seeking a visionary Senior AI Research Engineer to lead the development of next-generation artificial intelligence models. In this pivotal role, you will architect the neural foundations that will power our enterprise solutions for the next decade.
As a key player in our Future Tech division, you will bridge the gap between theoretical breakthroughs and scalable production systems. You will work in a highly collaborative, cross-functional environment focused on pushing the boundaries of what's possible with Large Language Models (LLMs) and generative AI.
Why Join Us?
- Impactful Work: Build the core intelligence systems that will define the future of automation.
- Future-Ready: Focus on technologies and methodologies relevant to the 2026 tech ecosystem.
- Culture: Premium benefits, equity options, and a remote-first culture that values deep work.
Responsibilities
- Architect and implement scalable machine learning pipelines designed for the 2026 data landscape.
- Lead research initiatives in Natural Language Processing (NLP) and generative AI, publishing findings in top-tier conferences.
- Optimize existing models for inference speed and reduced energy consumption.
- Mentor junior engineers and researchers, fostering a culture of technical excellence.
- Collaborate with product teams to translate research into practical, high-impact applications.
- Ensure ethical AI practices and data privacy compliance in all model training and deployment.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
- Minimum of 5+ years of experience in machine learning research or applied AI engineering.
- Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
- Strong understanding of transformer architectures, attention mechanisms, and distributed training.
- Experience with cloud platforms (AWS, GCP, or Azure) and MLOps tools.
- Proven track record of publishing research papers or shipping high-scale AI products.