Data Scientist / ML Engineer - Remote

- Leverage state-of-the-art algorithms to build fully customized recommenders and other growth models.
- Design, deploy and maintain all components necessary for modeling, including feature engineering, automatic model training & tuning and engineering toolchains.
- Create a comprehensive monitoring framework to evaluate model performance and provide actionable insights to drive business growth, focusing on awareness conversion and transactions.
- Understand stakeholder business requirements and design end-to-end machine learning/AI solutions that are effective, practical, and robust in addressing business challenges.
- Collaborate closely with data engineers and backend engineers to develop scalable systems.
- Communicate efficiently with cross-functional teams, promote the implementation of strategic applications, and drive continuous optimization.

Requirements
- 3+ years in at least one of the following areas: search, recommendation systems, ads, content understanding/moderation, or anti-fraud.
- Solid experiences in Python and related Data Analysis libraries (e.g., pandas, numpy, matplotlib, scikit-learn).
- Proficient in at least one Deep Learning framework (e.g., TensorFlow, PyTorch, Keras, Theano).
- Familiarity with Big Data tools such as Ray, Hive SQL, Spark, or MapReduce.
- Strong understanding of the software development lifecycle and low-level code optimization.
- Solid theoretical foundation in commonly used algorithms and strong statistical intuition.
- Excellent communication and collaboration skills; ability to explore new technologies with the team and drive technical innovation.
- Highly curious, self-motivated, and eager to take on challenges and strive for excellence.
- Proficient in English
Good to have
- Prior experience in large-scale recommendation systems or search engines.
- Familiarity with deep learning-based recommendation models such as DLRM, BERT4Rec, and NCF.
- Experience with API service development and deployment.
- Experience working with GCP and containerization technologies.

- Salary
+ 3-5yoe: 30M
+ >5yoe: 35M
- Receive 100% salary from the onboarding date.
- Participate in company activities: Teambuilding, travel, vacation and other activities.
- Work with large and advanced systems, have the opportunity to develop comprehensive technology skills with complex problems, requiring high accuracy.