Job Description
We are on the hunt for a visionary Senior AI Research Engineer to join our elite team at Nexus Future Labs. As we prepare for the technological landscape of 2026, we are looking for individuals who don't just adapt to change—they engineer it. This is a rare opportunity to lead the development of next-generation generative models and autonomous systems that will define the industry standard for the coming decade.
In this role, you will bridge the gap between theoretical breakthroughs and practical applications, working alongside a world-class team of data scientists and engineers to build the future of intelligence.
Responsibilities
- Architect and deploy scalable deep learning models capable of handling real-time data streams and high-concurrency workloads.
- Lead R&D initiatives focused on Generative AI and Large Language Models (LLMs) tailored for 2026 enterprise standards.
- Optimize neural network inference speeds to reduce latency and improve user experience.
- Collaborate with product managers to translate complex AI capabilities into user-friendly features.
- Mentor junior engineers and conduct code reviews to maintain high technical standards.
- Stay ahead of emerging trends in AI ethics, safety, and governance.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 5+ years of professional experience in machine learning, deep learning, or data science.
- Expert proficiency in Python, PyTorch, or TensorFlow.
- Strong understanding of distributed systems and cloud infrastructure (AWS, GCP, or Azure).
- Experience with Natural Language Processing (NLP) or Computer Vision is highly preferred.
- Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL) or shipping impactful AI products.