At Letyshops we believe that everything has its benefits: your CV, your university degree and even online purchases. Having found it in online stores, we created a cashback service and now we return part of the money spent on purchases to 28 million of our users around the world.
27 листопада 2023

Machine Learning Engineer (вакансія неактивна)

Київ, Вінниця, віддалено

Company Overview:

Letyshops is not just a shopping platform; it’s a community dedicated to redefining the future of online shopping. With a mission to put Ukraine on the global tech map, we have already saved our users an astonishing $100 million. But we’re not stopping there. Our sights are set on a groundbreaking, revolutionary product that is poised to transform the world of online shopping, saving our users an incredible $100 million every week.

Position Overview:

Are you ready to be a part of something legendary? We are in search of a Machine Learning Engineer to join our Intelligent Discovery track. Your mission: to tackle challenging, open-ended problems that span from building an extensive product catalog to developing cutting-edge recommendation systems. You’ll be instrumental in helping our users discover the best deals on our platform, and in doing so, you’ll play a pivotal role in shaping the future of online shopping.

Responsibilities:

  • Model Development: Build, evaluate, productionize, and optimize state-of-the-art ML models, harnessing your expertise in proven models and techniques.
  • Performance Evaluation: Continuously assess the performance of productionized models against our product and business objectives.
  • Problem Solving: Independently identify innovative solutions for complex, open-ended challenges, demonstrating your resourcefulness and creativity.
  • Collaboration: Work closely with cross-functional teams to ensure the long-term success of our ML-based applications.

Experience Requirements:

  • Industry Experience: A minimum of 5 years of relevant commercial experience, demonstrating your deep expertise in machine learning.
  • Technical Skills: Proficiency in Python3 and classic ML stack (numpy, pandas, sklearn), with knowledge and experience in relevant ML frameworks, preferably PyTorch.
  • Production Expertise: Proven experience in deploying and operating ML models in a production environment.
  • Problem Solving: Practical experience in solving at least one of the following problems: semantic search, information retrieval, entity recognition/matching, or recommendation systems.
  • Business Acumen: Strong business sense and understanding of experimentation methodologies, enabling you to drive data-driven decisions.
  • MLOps Knowledge: Familiarity with MLOps concepts, including pipelines, automated model training, data and model versioning, and model monitoring, is a valuable asset.
  • Language Skills: Proficiency in English at the B2 level or higher is required.

Why Join Letyshops?

  • Generous time off: Enjoy 20 working days of annual paid vacation and paid sick leaves to use as needed.
  • Flexible working hours: We understand that life happens, so we offer flexible working hours to help you balance work and personal commitments.
  • Remote-friendly: Work from anywhere with our remote-friendly policy, giving you the freedom to work in a way that suits your lifestyle.
  • Language classes: Improve your language skills with our English classes and speaking clubs, helping you to communicate more effectively with colleagues and partners.
  • Education compensation: We believe in investing in our employees’ growth, which is why we offer 50% compensation for external education to help you develop new skills and further your career.
  • Cashback benefits: Get more for your money with our X2 cashback on letyshops.com.
  • Cozy office: Our workspace is designed to help you feel comfortable and productive, where you can easily find everything for work, rest, and leisure.
  • Growth opportunities: We believe in helping our employees reach their full potential, which is why we offer opportunities for growth and development within the company`s fast-paced environment