Coupang is looking to solve the problem of building the future of commerce by developing and designing machine learning models, optimization algorithms, and new product features for their advertising platform.
Requirements
- Experience in machine learning, deep learning, and statistical modeling
- Proficiency in Python and/or Java, with experience in building production grade ML Systems
- Experience with search systems, information retrieval or recommendation engines
- Experience with LLMs, embeddings, and vector search technologies
- Experience with cloud platforms such as AWS, Google Cloud Platform including services like Vertex AI, BigQuery or SageMaker
- Hands-on experience with modern ML frameworks such as TensorFlow, PyTorch, Scikitlearn, Keras, XGBoost, LightGMB, and H2o.ai
- Experience with ML lifecycle tools such as MLflow, Kubeflow, Weights & Biases, or Amazon SageMaker
Responsibilities
- Design and implement large-scale ML systems for personalized recommendation using state-of-the-art techniques such as transformer-based models, contrastive learning and vector search
- Define and track key performance metrics to evaluate model impact and identify high leverage opportunities for improvement
- Collaborate cross-functionally with product, engineering and data science teams to align technical solutions with business goals and customer experience
Other
- Bachelor's degree in computer science, electrical engineering, mathematics, statistics or closely related fields
- 4 years of professional experience in applied machine learning
- Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders
- Proven ability to lead-cross-functional teams and deliver results in a multicultural, global organization
- Ability to work in a startup or high-growth environment
