Job Description
Are you ready to architect the intelligence of tomorrow? Nexus Future Systems is seeking a visionary Senior AI Research Engineer to lead our core initiatives for the 2026 product release. As we push the boundaries of Generative AI and Large Language Models, we need a technical leader who is passionate about building scalable, ethical, and groundbreaking AI systems.
In this role, you will define the research roadmap for our next-generation autonomous agents. You will work closely with our engineering and product teams to translate theoretical advancements in deep learning into production-ready architectures. If you are looking for a challenge that defines the future of technology, we want to hear from you.
Responsibilities
- Lead cutting-edge research in Deep Learning and Natural Language Processing (NLP) to support the 2026 product roadmap.
- Design and optimize Transformer architectures and Large Language Models (LLMs) for high-throughput, low-latency inference.
- Collaborate with data scientists to curate high-quality datasets and implement Reinforcement Learning from Human Feedback (RLHF) pipelines.
- Mentor junior engineers and researchers, fostering a culture of innovation and technical excellence.
- Evaluate emerging AI frameworks (e.g., PyTorch, TensorFlow) and recommend technology stacks for infrastructure scalability.
- Ensure AI systems are interpretable, robust, and compliant with global ethical guidelines.
Qualifications
- Master’s or PhD degree in Computer Science, Mathematics, or a related field, with a focus on AI/ML.
- Minimum of 5 years of professional experience in AI research or software engineering.
- Strong proficiency in Python, PyTorch, and modern machine learning libraries.
- Proven track record of publishing research papers in top-tier conferences (NeurIPS, ICML, ACL).
- Experience with cloud infrastructure (AWS, GCP) and MLOps tools (MLflow, Kubeflow).
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.