Interesting to see Anthropic now downplaying the new vulnerabilities that Mythos discovered:
> We reviewed a demonstration of this specific technique being used to identify a small number of previously known, minor vulnerabilities. These vulnerabilities all appear relatively simple, and we have found that other publicly-available models are able to discover them as well without requiring a bypass
At Hugging Face, we have built some of the fastest growing, open source libraries for all stages of machine learning from finding datasets (𝚍𝚊𝚝𝚊𝚜𝚎𝚝𝚜) to model training/inference (𝚝𝚛𝚊𝚗𝚜𝚏𝚘𝚛𝚖𝚎𝚛𝚜), to building model demos (𝚐𝚛𝚊𝚍𝚒𝚘). Most of these libraries are written in Python and include some sort of full-stack or Web technologies, and we are looking for a senior Python engineer who is comfortable contributing to these libraries and influencing the direction of their development. We just raised our Series C and are growing rapidly
As an early member of Hugging’s Face Machine Learning Engineering Success team, you will play a critical role in driving successful technical engagements with prospects and customers and be an integral part of our overall enterprise sales process. You ask the right questions to quickly understand the customer's Machine Learning pain points and environment and articulate clearly and concisely the best possible technical solutions. You are curious and an avid learner. Most of all, you care about the customer being successful.
We design and code experiences that resonate with our growing customer base. We empower our community with user-friendly and well-thought tools to help them achieve their goals. To meet our users' needs we are looking for strong software engineers who are excited to build scalable and reliable platforms, partnering across disciplines and geographies, to achieve the best results. As part of our Product/Design team, you will be developing cutting edge front-ends for our platform and implementing new features with the best user experience possible. Working closely with other engineers, you’ll help in defining and enforcing guidelines to ensure that our users get the same experience across the whole platform. You’ll play a key role in setting the example: write high-quality code, as your teammates do!
At Hugging Face, we have built some of the fastest growing, open source libraries for all stages of machine learning from finding datasets (𝚍𝚊𝚝𝚊𝚜𝚎𝚝𝚜) to model training/inference (𝚝𝚛𝚊𝚗𝚜𝚏𝚘𝚛𝚖𝚎𝚛𝚜), to building model demos (𝚐𝚛𝚊𝚍𝚒𝚘). Most of these libraries are written in Python and include some sort of full-stack or Web technologies, and we are looking for a senior Python engineer who is comfortable contributing to these libraries and influencing the direction of their development. We just raised our Series C and are growing rapidly
As an early member of Hugging’s Face Machine Learning Engineering Success team, you will play a critical role in driving successful technical engagements with prospects and customers and be an integral part of our overall enterprise sales process. You ask the right questions to quickly understand the customer's Machine Learning pain points and environment and articulate clearly and concisely the best possible technical solutions. You are curious and an avid learner. Most of all, you care about the customer being successful.
We design and code experiences that resonate with our growing customer base. We empower our community with user-friendly and well-thought tools to help them achieve their goals. To meet our users' needs we are looking for strong software engineers who are excited to build scalable and reliable platforms, partnering across disciplines and geographies, to achieve the best results. As part of our Product/Design team, you will be developing cutting edge front-ends for our platform and implementing new features with the best user experience possible. Working closely with other engineers, you’ll help in defining and enforcing guidelines to ensure that our users get the same experience across the whole platform. You’ll play a key role in setting the example: write high-quality code, as your teammates do!