Aisafety
Research Engineer
On-site
Full Time
#Engineering
#AI
#Machine Learning
#NLP
#PyTorch
#Huggingface
#Data
#Transformers
#Design
Aisafety is looking for a Research Engineer
Full TimeSeniorOn-siteUnited StatesEngineeringAIMachine LearningNLPPyTorchHuggingfaceDataTransformersDesignEnglishDental insuranceVision insurance401kCommuter benefits
Introduction
The Center for AI Safety is a non-profit organization based in San Francisco, dedicated to research and the advancement of the field of AI safety. We believe that artificial intelligence will be a powerful technology that will dramatically change society, and our aim is to mitigate potential high-consequence risks. We are doing this through:
- Technical and conceptual research;
- Promotion of safety within the broader machine learning community;
- Collaboration with academics, industry researchers, philosophers, and policy drivers who are uniquely positioned to influence the future of AI safety.
We’re seeking a skilled research engineer who is aligned with our mission to develop and promote the field of AI safety. As a research engineer here, you will pursue a variety of research projects in fields such as Power Aversion, Trojans, Machine Ethics, and Reward Hacking. You will assist in writing and submitting articles for publication at top conferences. You will collaborate with both internal research staff (e.g. Dan Hendrycks) as well as academics at top universities (including Stanford, UC Berkeley, CMU, or MIT). You will have access to the latest technology with our compute cluster to run experiments at scale on large language models. You’ll also have the opportunity to grow the field of AI safety by advising and leading competitions, workshops and socials at top ML conferences and identifying other ways for CAIS to engage with the global research community.
Example Projects Include:
You might be a good fit if you:
Benefits:
We’re a young organization and currently building out our benefits offerings, so we expect this list to grow!
The Center of AI Safety is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Some studies have found that a higher percentage of women and underrepresented minority candidates won't apply if they don't meet every listed qualification. The Center for AI Safety values candidates of all backgrounds. If you find yourself excited by the position but you don't check every box in the description, we encourage you to apply anyway!
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