Why Join Us?
- Join a rapidly growing company with $30M ARR and 100M+ happy customers across the US and Europe.
- Work with a high-caliber engineering team from companies like Lensa, Picsart, Viber, VK, and Yandex.
- Backed by investors who successfully exited companies like Looksery and AI Factory, selling to Snap for $150M and $166M, respectively.
- Contribute to cutting-edge AI technologies in entertainment applications.
Job Description:
We are looking for a talented Lead Machine Learning Engineer specializing in recommendation systems to join our team. You will be responsible for designing, developing, and maintaining the recommendation algorithms that power our content discovery, user engagement, and personalized experiences on the platform.
Key Responsibilities
- Design and implement scalable recommendation systems to personalize content feeds for users.
- Develop and maintain machine learning models for user interaction prediction, content ranking, and recommendations.
- Work closely with data engineers to build and manage data pipelines for training and deploying models.
- Collaborate with backend developers to integrate recommendation systems into the app’s infrastructure.
- Optimize algorithms for real-time recommendations and high traffic volumes.
- Monitor and troubleshoot model performance, ensuring high accuracy and relevance of recommendations.
- Conduct A/B testing and other experiments to validate the effectiveness of recommendation strategies.
- Stay updated with the latest research and advancements in machine learning and recommendation systems.
Requirements
- Proven experience as a Machine Learning Engineer, particularly in building recommendation systems.
- Proficiency in programming languages such as Python and frameworks like TensorFlow or PyTorch.
- Experience with data manipulation and analysis using Pandas, NumPy, and similar tools.
