We research dangerous AI capabilities to better understand misuse risks of current systems, and how advances in hacking, deception, and persuasion will affect the risk of catastrophic AI outcomes.
See the full job ad and application here: https://palisaderesearch.org/work
We plan to study emerging dangerous capabilities in both open source and API-gated models across automated hacking, spear phishing and deception, and scalable disinformation.
We are looking for people who excel at: - Working with language models, which includes supervised fine-tuning, using reward models/functions (RLHF/RLAIF), building scaffolding (e.g. in the style of AutoGPT), and prompt engineering / jailbreaking. - Software engineering. Alongside working with LMs, much of the work you do will benefit from a strong foundation in software engineering—such as when designing APIs, working with training data, or doing front-end development. - Technical communication. By writing papers, blog posts, and internal documents; and by speaking with the team and external collaborators about your research.
Salary: We’re offering between 150,000 - 250,000 USD, depending on your skill and experience, plus healthcare.
Listening.com turns research papers and textbooks into audio, so students can listen on the go.
We're growing very fast, with 10,000+ subscribers from institutions like Harvard, Stanford, MIT, and UC Berkeley.
We’re hiring a machine learning engineer. The role entails:
* Experience with training models, implementing research papers, and coming up with novel model designs.
* Deep experience with PyTorch, Tensorflow, CUDA, etc is a must.
* Understanding how attention heads, convolutional networks, etc operate is important.
* These experiences are a plus but not required: --- training LLMs from scratch --- Working with audio models --- Working with vision models --- Experience making models run efficiently is a plus but not required (quantization, pruning, distillation, etc) --- Experience with model hosting and deployment is also a plus but not required
The role is 50% remote, 50% in person.
To apply, please email derek@listening.io. Include your resume, and mention that you're in the San Francisco bay area.