Ahrefs is looking for an experienced Data Scientist to join our Data Science team, to be based in our Singapore office. In this role, you will research, prototype, deploy to production and maintain various systems for image processing and image retrieval.
What You’ll Do
- Research, prototype, build and maintain systems for image processing and image retrieval
- Create comprehensive product requirements together with Product Development, Design and Marketing teams
- Work closely with the Engineering teams (frontend and backend) to implement, deploy, and maintain production systems
- Write thorough documentation
- Effectively communicate highly technical results to various teams
Basic Requirements
- Preferably at least a Master’s degree in any quantitative discipline: Applied Mathematics, Computer Science, Statistics, etc.
- Preferably at least three (3) years of hands-on experience in image processing and computer vision
- Experience with probabilistic models and statistical learning
- Experience in C/C++, Python, SQL (clickhouse dialect is a plus), Git, CI/CD
- Experience with (at least one) deep learning framework: TensorFlow, Caffe, Pytorch, Theano
- Strong interpersonal and communication skills
What You'll Get
- Competitive compensation package
- Informal and thriving work atmosphere
- First-class workplace equipment (hardware & tools)
- Perks and fringe benefits
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
