AI Safety Research Scientist
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As the leading data and evaluation partner for frontier AI companies, Scale plays an integral role in understanding the capabilities and safeguarding large language models (LLMs). The Safety, Evaluations and Analysis Lab (SEAL) is Scale's new frontier research effort dedicated to building robust evaluation products and tackling challenging research problems in evaluation and red teaming.
We are actively seeking talented researchers to join us in shaping the landscape for safety and transparency for the entire AI industry. We support collaborations across the industry and the publication of our research findings.
Ideally you'd have:
- A commitment to our mission of promoting safe, secure, and trustworthy AI deployments in the industry.
- Practical experience conducting technical research collaboratively, with proficiency in frameworks like Pytorch, Jax, or Tensorflow.
- A track record of published research in machine learning, particularly in generative AI.
- At least three years of experience addressing sophisticated ML problems, whether in a research setting or in product development.
- Strong written and verbal communication skills to operate in a cross-functional team.
Nice to have:
- Hands-on experience with open-source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax.
- Experience in crafting evaluations or a background in data science roles related to LLM technologies.
- Experience working with cloud technology stack (e.g., AWS or GCP) and developing machine learning models in a cloud environment.
Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture.
We offer competitive compensation packages, including a base salary range of $176,000-$300,000 USD, equity, and benefits such as comprehensive health coverage, retirement benefits, and generous PTO.
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