Senior AI Research Engineer
2 days ago
Job Summary
We are seeking a highly skilled Senior/Staff Machine Learning Research Scientist to join our Generative AI team. As a key member of our research team, you will be responsible for developing new foundational models, algorithms, and forms of supervision for Generative AI. Your focus will be on advancing frontier models for Scale's applied-ML teams and the broader AI community.
About Us
Scale is a leading provider of training and evaluation data and end-to-end solutions for the ML lifecycle. Our mission is to accelerate the development of AI applications across every industry.
Your Role
- You will lead writing, publishing, and adoption of your work internally with applied teams.
- You will be involved end-to-end from the inception and planning of new research agendas.
- You'll create high-quality datasets, implement models, and associated training and evaluation stacks.
- You will publish new methods that advance frontier models/LLMs via human in the loop.
- You will release papers, datasets, and open-source code that improve the state of the art open-source models.
- You will evaluate, adapt, and develop new state-of-the-art language and/or multimodal foundation models.
Requirements
- A track record of high-caliber publications in peer-reviewed machine learning venues.
- Strong skills in NLP, LLMs, and deep learning.
- Solid background in algorithms, data structures, and object-oriented programming.
- Experience working with cloud technology stack (e.g., AWS or GCP) and developing machine learning models in a cloud environment.
- Strong written and verbal communication skills to operate in a cross-functional team environment.
Benefits
We offer a competitive salary range of $176,000—$300,000 USD per year, comprehensive health insurance, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.
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