Deep Learning Scientist

Boson AI; Santa Clara (CA); On-site; USD 150,000 - 600,000; Full time

Job summary

A startup, Boson AI, seeks a Deep Learning Scientist in Santa Clara to develop cutting-edge models for understanding and generating audio. The ideal candidate will have a robust background in machine learning, along with a PhD or Master's degree, and will work in a fast-paced environment alongside top-tier experts.

Benefits

Medical insurance

Vision insurance

401(k)

Qualifications

• Strong background in machine learning and deep learning.
• Participation in research projects related to LLM or multimodal models.
• Active scientific track record with contributions.

Responsibilities

• Design novel model architectures and training objectives.
• Conduct large-scale experiments for model verification and improvement.
• Write efficient and clean code for ML training.

Skills

Problem-solving

Machine Learning

Deep Learning

Education

PhD or Master's degree

Tools

PyTorch

GPU programming (CUDA)

Job description

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This range is provided by Boson AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$150,000.00/yr - $600,000.00/yr

Direct message the job poster from Boson AI

Boson AI is a startup building large language tools for audio understanding, generation, 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 LLM, large Audio models 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.
• Audio and LLM joint modeling.
• 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 writing GPU kernels in CUDA

Qualifications

• PhD or Master's degree with solid scientific contributions
• 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.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Research Services

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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