Member of Technical Staff, Modeling

3 days ago

Toronto, Ontario, Canada Boson AI Full time $150,000 - $600,000 per year
Boson AI is an early-stage startup building large language tools for interaction and entertainment. 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 and beyond.
We are seeking research scientists and engineers to join our team full-time in our Santa Clara 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. 
  • 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 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
$150,000 - $600,000 a year Total compensations includes base pay, equity, and benefits. We have a 401k plan, HSA, FSA, free food (even dried mangoes). We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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