Language Model Robustness Specialist
3 weeks ago
Scale AI is seeking a highly skilled researcher to join our team. As part of our Safety, Evaluations and Analysis Lab (SEAL), you will play a key role in advancing the field of AI safety and evaluation.
The ideal candidate will have a strong background in machine learning, deep learning, natural language processing, or computer vision, with a focus on agent safety, evaluation, alignment, and related fields. You should have prior experience or a track record of research publications in these areas.
In this position, you will work on various projects focused on the development and application of advanced techniques for evaluating and improving the safety and reliability of large language models. These projects may include:
- Developing and applying novel metrics and benchmarks for measuring the safety and reliability of LLMs
- Designing and implementing efficient and effective methods for scaling up the evaluation and testing of LLMs
- Collaborating with cross-functional teams to develop and deploy AI-powered solutions that enhance the safety and reliability of LLMs
Requirements:
To be successful in this role, you will need:
- A current enrollment in a BS/MS/PhD program with a focus on Machine Learning, Deep Learning, Natural Language Processing, or Computer Vision, with a graduation date in Fall 2025 or Spring 2026
- Prior experience or a track record of research publication in agent safety, evaluation, alignment, or a related field
- Experience with one or more general-purpose programming languages, including Python, Javascript, or similar
- Ability to speak and write in English fluently
- Availability for a Summer 2025 internship starting in May/June
Why Work at Scale AI?
We offer a dynamic and inclusive work environment, with a talented team of researchers and engineers who are passionate about advancing the field of AI safety and evaluation. We also offer a competitive salary of $85,000 per year, plus benefits including health insurance, retirement plans, and paid time off.
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