Deep Learning Scientist

Boson AI is a startup building large language tools for everyone to use. Our founders (Alex Smola, Mu Li), and a team of Deep Learning, Optimization, NLP, AutoML and Statistics scientists and engineers are working on high quality generative AI models for language, audio, and entertainment.

We are seeking research scientists and engineers to join our team full-time in our Toronto office. As part of your role, you will work on modeling and training LLMs, understanding and interpreting model behavior and aligning models to human values. The ideal candidate will possess a strong background in machine learning, and have motivations for developing state-of-the-art models towards AGI.

Responsibilities

• Design and verify novel model architectures and training objectives.
• Audio and LLM joint modeling.
• Investigate novel model alignment algorithms.
• Write efficient and clean code for ML training.
• Conduct large-scale experiments to verify the modeling choices and identify improvement areas.

Experience

• Summarize results and clearly communicate the motivations and observations in your work
• Proficiency in at least one deep learning framework, such as PyTorch.
• Participation in at least one research project related to LLM or multimodal models, e.g. experience in training or fine-tuning them.
• Experience in alignment research
• Experience with audio, image or text models
• Experience in large-scale distributed model training
• Experience in writing GPU kernels in CUDA

Qualifications

• PhD or Master's degree with solid scientific contributions
• Active GitHub repository
• Active scientific track record
• Excellent problem-solving skills

Active Github contributions are a big plus, so is the ability to solve problems and learn new techniques.