Senior/Lead Machine Learning Engineer (RecSys)

#vacancy #job #senior #lead #ml #office #georgia #tbilisi #relocation



Senior/Lead ML Engineer RecSys


### 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.
- Strong understanding of machine learning algorithms, particularly collaborative filtering, matrix factorization, and neural networks.
- Experience with database technologies such as MySQL, PostgreSQL, or MongoDB.
- Familiarity with cloud services (e.g., AWS, Google Cloud, Azure) and containerization (e.g., Docker).
- Strong problem-solving skills and the ability to work independently and as part of a team.
- Excellent communication skills and the ability to collaborate with cross-functional teams.
- Experience with real-time data processing frameworks such as Apache Kafka is a plus.

### Benefits:

- Competitive salary and equity options.
- Opportunity to work on a cutting-edge social platform and make a significant impact.
- Collaborative and dynamic work environment.


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