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Full-Time

Staff Generative AI / ML Engineer

Updated on 7/8/2024

MasterClass

MasterClass

501-1,000 employees

Online classes featuring diverse subjects

Entertainment

Compensation Overview

$165k - $256kAnnually

+ Equity

Junior

San Francisco, CA, USA + 1 more

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Python
CUDA
Pytorch
Natural Language Processing (NLP)
Requirements
  • At least two years of experience working with LLMs - Fine Tuning Embedding and Causal models, distilling larger models into smaller models, etc.
  • Built datasets and solutions to evaluate model performance.
  • Proven experience in prompt engineering closed source models like GPT or OSS models like Mixtral to meet specific application needs.
  • Experience with pre-LLM NLP models like word2vec or GloVe models.
  • Experience working with CUDA architectures on single and multi-GPU compute environments.
  • Strong programming skills in Python and experience with frameworks and tools such as PyTorch, Huggingface SDKs, vLLM, etc.
  • Excellent communication skills to collaborate effectively across teams and with external partners.
Responsibilities
  • Develop LLM-powered solutions using various techniques to reach product goals.
  • Decide on the right model architecture for different requirements.
  • Build evaluation systems to bring objectivity to model output quality and product experience aspects.
  • Design the right architecture based on product needs.
  • Collaborate with cross-functional teams to integrate AI technologies into the MasterClass platform.
  • Mentor the team to share best practices for AI product development.
  • Stay updated on industry trends in generative AI and prompt engineering.
  • Engage with the AI research community and apply the latest findings to AI initiatives.

MasterClass, a leading educational streaming platform, offers an enriching work environment focused on continuous learning and growth. Employees benefit from exposure to a plethora of diverse subjects taught by industry experts, enhancing both personal and professional development. The company’s commitment to high-quality, cinematic content production ensures that team members are always at the cutting edge of digital storytelling and educational technology.

Company Stage

Series F

Total Funding

$459.5M

Headquarters

San Francisco, California

Founded

2015

Growth & Insights
Headcount

6 month growth

3%

1 year growth

3%

2 year growth

-3%