remote
Machine Learning Researcher - RBC
ML Engineer
Lead cutting‑edge research in generative AI, NLP, and time‑series modeling, leveraging large datasets and advanced ML techniques to create innovative products and solutions.
About the role
Key Responsibilities
- Design, prototype, and evaluate novel machine learning models for generative AI, natural language processing, and time‑series analysis.
- Collaborate with data scientists and software engineers to integrate research prototypes into production pipelines.
- Analyze and preprocess large, heterogeneous datasets to extract actionable insights and improve model performance.
- Publish findings in internal reports and external conferences, maintaining a strong research portfolio.
- Mentor junior researchers and contribute to the continuous improvement of research methodologies.
Requirements
- PhD or Master’s in Computer Science, Statistics, or related field with a focus on machine learning.
- Proven experience in deep learning frameworks (e.g., PyTorch, TensorFlow) and strong programming skills in Python.
- Deep knowledge of generative models, NLP techniques, and time‑series forecasting.
- Excellent problem‑solving skills and ability to translate complex data into actionable solutions.
- Strong communication skills and a track record of publishing research.
Skills
pythonmachine learninggenerative ainatural language processingdeep learning