We’re hiring - let’s work together! We’re looking for a talented for an Applied Researcher position - if you think you might be a good fit, please contact us.
We are Hirundo, a rapidly expanding startup at the forefront of Data-Centric AI Optimization. Supported by both local and international VCs, our team blends industry innovation with academic expertise. We offer a unique opportunity to work on cutting-edge AI solutions poised to revolutionize AI/ML practices.
As one of our earliest team members, you'll have the chance to lead and shape our R&D efforts, paving the way for future leadership roles within our dynamic environment. Join us in building transformative AI tools for tomorrow's challenges.
We are on the hunt for an exceptional Applied Researcher, someone with a comprehensive background in various data science fields and robust programming abilities. Your mission will involve advancing our pioneering research in areas such as optimization, debugging, and the nuanced process of unlearning within Large Language Models.
This role demands an in-depth engagement with LLMs—ranging from sophisticated analysis, manipulation and precise fine-tuning. You'll also dive into working with similarity-based algorithms, training classical models among other tasks. Hirundo navigates through diverse data landscapes, each presenting unique, often unprecedented challenges.
Positioned at the crossroads of innovation in a rapidly evolving startup, you as a data scientist will not only pioneer solutions for complex problems but also crucially influence our product's development. This is a rare chance to directly impact our offerings from a user-centric perspective, facilitating meaningful interactions with various teams across different organizations.
We are working in a hybrid mode - with some days from the office, and some remotely. We accommodate for unique needs that could arise in today’s work life: what we care about is building a winning, and humane, team.
We’re in for quite the ride, and we need someone who vibes with the always-evolving dynamic startup life.
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Preferred: