Job Description
Are you ready to define the future of intelligence?
Nexus Dynamics is a pioneering technology firm focused on building the next generation of Generative AI solutions. We are looking for a visionary Senior AI Research Scientist to lead our research initiatives and drive the 2024 roadmap for our flagship products.
In this role, you will work at the intersection of computer science, mathematics, and product development. You will be responsible for designing, training, and deploying state-of-the-art Large Language Models (LLMs) that power enterprise-grade applications worldwide.
If you are passionate about pushing the boundaries of what is possible with artificial intelligence and thrive in a fast-paced, innovative environment, we want to hear from you.
Responsibilities
- Research & Development: Lead the end-to-end research lifecycle for NLP and Deep Learning models, including data curation, model architecture design, and hyperparameter tuning.
- Model Deployment: Collaborate with the MLOps team to ensure scalable, efficient, and secure deployment of research models into production environments.
- Roadmap Execution: Translate complex technical requirements into actionable research goals for the 2024 product roadmap.
- Mentorship: Mentor junior data scientists and engineers, fostering a culture of continuous learning and technical excellence.
- Publishing: Author high-impact research papers and present findings at top-tier conferences (NeurIPS, ICML, ACL).
- Cross-functional Collaboration: Partner with product managers and engineers to identify high-value AI use cases and integrate them into the core platform.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Machine Learning, Statistics, or a related technical field.
- Experience: 5+ years of experience in research or applied machine learning, with a proven track record of publishing in top-tier venues.
- Technical Skills: Deep proficiency in Python, PyTorch, or TensorFlow. Strong understanding of transformer architectures, attention mechanisms, and pre-training techniques.
- Programming: Expert-level coding skills in Python, C++, or CUDA for high-performance computing tasks.
- Problem Solving: Demonstrated ability to tackle complex, unstructured problems in natural language processing and generative AI.
- Communication: Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.