Description
ML Engineer (Items Team)
Department: Integrations
Employment Type: Full Time
Location: Remote
Description
Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 5,000,000 active users choose Tabby to stay in control of their spending and make the most out of their money.
Over 30,000 global brands and small businesses, including Amazon, H&M, Adidas, IKEA, SHEIN, noon, and Bloomingdale’s use Tabby’s technology to accelerate growth and gain loyal customers by offering flexible payments online and in stores. Tabby is active in Saudi Arabia, UAE, Egypt and Kuwait and backed by leading investors, including Sequoia Capital India, STV, PayPal Ventures, Mubadala Investment Capital, Arbor Ventures and others.
We are looking for an Machine Learning Engineer to contribute to the evolution of Tabby. You’ll have the opportunity to work on cutting-edge machine learning algorithms that drive the heart of our marketplace by improving item matching, moderation, and product information enrichment.
We are looking for an Machine Learning Engineer to contribute to the evolution of Tabby. You’ll have the opportunity to work on cutting-edge machine learning algorithms that drive the heart of our marketplace by improving item matching, moderation, and product information enrichment.
You’ll be working in a dynamic, rapidly evolving environment with the following responsibilities:
• Developing ML algorithms for Items Matching and Items Moderation to improve the accuracy and efficiency of our marketplace.
• Building algorithms for parsing and enriching product information, making data more actionable.
• Deploying and integrating ML models as services into production systems, ensuring smooth and scalable operations.
• Advocating for and implementing best practices in MLOps infrastructure to improve development workflows.
• Building algorithms for parsing and enriching product information, making data more actionable.
• Deploying and integrating ML models as services into production systems, ensuring smooth and scalable operations.
• Advocating for and implementing best practices in MLOps infrastructure to improve development workflows.
Skills, Knowledge & Expertise:
• 3+ years of experience as an ML Engineer or Data Scientist.
• Proven experience and achievements in item matching algorithms.
• Strong proficiency in Python and a solid understanding of industry best practices.
• Excellent knowledge of SQL, with the ability to work with large datasets.
• Experience with extracting information from unstructured data (e.g., text, images).
• Familiarity with Text and/or Image Transformers for enhanced data processing.
• Proven experience and achievements in item matching algorithms.
• Strong proficiency in Python and a solid understanding of industry best practices.
• Excellent knowledge of SQL, with the ability to work with large datasets.
• Experience with extracting information from unstructured data (e.g., text, images).
• Familiarity with Text and/or Image Transformers for enhanced data processing.
Bonus Skills:
• Experience working with NoSQL databases or vector databases (e.g., ANN indexes).
• Knowledge of streaming and batch data processing pipelines.
• Hands-on experience with model deployment, Airflow, and Docker.
• Familiarity with cloud platforms like Google Cloud Platform (GCP).
• Knowledge of streaming and batch data processing pipelines.
• Hands-on experience with model deployment, Airflow, and Docker.
• Familiarity with cloud platforms like Google Cloud Platform (GCP).
Job Benefits:
- We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
- A working environment that gives you autonomy and responsibility from day one.
- You should be comfortable with the idea that the quality of your work will influence the shape of your career.
- Participation in company’s employee stock options program.
- Health Insurance.
Relocation
We offer remote work from anywhere in the world and are happy to work out an individual relocation plan for you.
Our employees have the opportunity to choose a country for registration: at the moment those are Armenia/Georgia/Serbia/Portugal/Spain.
We will help you open a legal entity and a bank account. In Armenia and Georgia the taxes are compensated by Tabby. In other countries we provide partial compensation of taxes.
We employ according to B2B contracts (service agreements).
For our employees we cover the following:
We offer remote work from anywhere in the world and are happy to work out an individual relocation plan for you.
Our employees have the opportunity to choose a country for registration: at the moment those are Armenia/Georgia/Serbia/Portugal/Spain.
We will help you open a legal entity and a bank account. In Armenia and Georgia the taxes are compensated by Tabby. In other countries we provide partial compensation of taxes.
We employ according to B2B contracts (service agreements).
For our employees we cover the following:
- Flight to one of the mentioned countries.
- Accommodation during the paperwork completion period.
- Opening a bank account and getting a residence permit in one of the mentioned countries.
- Family relocation (dependants).
New employees can also choose an alternative method of relocation to another country of their choice. In this case, Tabby will reimburse up to $5,000 of verified costs upon opening a legal entity and a bank account.
We are passionate about creating an inclusive, high-performing workplace that gives people from all backgrounds the support they need to thrive, grow and meet their goals (whatever they may be).
We are passionate about creating an inclusive, high-performing workplace that gives people from all backgrounds the support they need to thrive, grow and meet their goals (whatever they may be).
If this sounds exciting to you, we’d love to hear from you!
