Are you passionate about deep learning and NLP? We’re building Yep, a search engine and LLM from the ground up. Think: experiments at the trillion token scale; training runs where we count VRAM in 10TB increments; playing around with new data processing techniques across 100K cores. If you’re not already excited, then close this tab!
We will be giving preference to senior (closer to graduation) year, Singapore-based students. We are ready to accommodate for terms as short as 3-4 months and adjust working dates/ hours to your academic schedule.
What you need
- Knowledge or hands-on experience with Deep Learning and Natural Language Processing
- Good knowledge of Python and SQL
- Knowledge or hands-on experience with large datasets and distributed computing
- Knowledge or hands-on experience with (at least one) deep learning framework: TensorFlow, Pytorch, Theano
- Strong verbal and writing communication skills
What to expect
Get a taste of how we work as a small yet dynamic team and unlock unparalleled access to an extensive array of computing power, an opportunity you won't find anywhere else.
You’ll have opportunities to work on cutting-edge projects at the intersection of AI, NLP, and CV.
You’ll get the chance to shape the future of our product and make a real impact.
We don't have explicit training sessions but you can expect all the needed help and advice from the team. You will also be assigned a one-on-one mentor to review your work and learn from.
Ahrefs does not engage with agencies or third party recruitment solutions for the roles we hire for. If at any point we need help, we'll let you know!
Qui nous sommes
Notre équipe de science des données est confrontée à un défi de taille et passionnant : créer des modèles d’apprentissage automatique pour améliorer l’expérience Fairsearch. Ce qu’un utilisateur veut voir lorsqu’il effectue une recherche et ce qui rend un contenu meilleur ou plus pertinent qu’un autre - ce sont des questions vitales qui déterminent la façon dont nous reclassons les pages Web. Ça a l’air intéressant? Nous aimerions recevoir de vos nouvelles.
Notre devise est faites-le d’abord, puis faites-le bien, puis faites-le mieux
