Job Description
We are seeking a visionary Senior AI Research Engineer to define the technological landscape for our 2026 roadmap. As a leader in our organization, you will bridge the gap between theoretical machine learning breakthroughs and scalable production systems. You will work in a high-performance environment, pushing the boundaries of generative AI and predictive analytics to solve complex global challenges.
Why Join Us?
At Nexus Future Labs, we don't just predict the future; we build it. We offer a competitive compensation package, equity options, and a culture that prioritizes innovation, diversity, and professional growth.
Responsibilities
- Lead the design and implementation of cutting-edge deep learning models, focusing on Generative AI and Large Language Models (LLMs).
- Architect robust, scalable data pipelines capable of processing petabytes of information efficiently.
- Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate research into market-ready solutions.
- Mentor junior engineers and researchers, fostering a culture of continuous learning and technical excellence.
- Conduct rigorous experimental analysis to validate model performance and optimize accuracy and speed.
- Stay ahead of industry trends to integrate the latest advancements in AI architecture into our core infrastructure.
Qualifications
- Master’s or Ph.D. in Computer Science, Mathematics, Statistics, or a related field.
- Minimum of 5+ years of professional experience in machine learning engineering or research.
- Proficiency in Python, PyTorch, TensorFlow, or JAX.
- Strong foundation in linear algebra, calculus, and probability theory.
- Experience with distributed computing frameworks (e.g., Apache Spark, Kubernetes) is highly preferred.
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ICLR) or delivering high-impact production models.