1 month ago
Base Salary
$152k - $277k/yr
Responsibilities
- Design features and build large-scale machine learning models and systems for relevance, ranking, personalization, and engagement.
- Implement ML systems for search ranking, semantic retrieval, query understanding, and personalized product discovery.
- Develop search relevance and user-intent solutions using LLMs, embeddings, vector search, and multimodal learning.
- Build and optimize scalable ML pipelines with reproducibility and operational excellence.
- Define and track performance metrics to evaluate model impact and identify improvement opportunities.
- Collaborate with product, engineering, and data science teams to align technical solutions with business goals.
- Mentor and develop engineering talent while promoting technical excellence and continuous learning.
Requirements
- Bachelor’s degree in computer science, electrical engineering, mathematics, statistics, or a closely related field.
- At least 4 years of professional experience in applied machine learning.
- Experience with machine learning, deep learning, and statistical modeling.
- Proficiency in Python and/or Java and experience building production-grade ML systems.
- Preferred qualifications include a master’s or PhD, search or recommendation experience, LLM and vector search experience, and cloud platform experience.
- Preferred experience includes AWS, Google Cloud Platform, Vertex AI, BigQuery, SageMaker, TensorFlow, PyTorch, Scikit-learn, Keras, XGBoost, LightGBM, H2O.ai, MLflow, Kubeflow, and Weights & Biases.
- Ability to lead cross-functional teams, communicate complex technical concepts, work independently, and manage ambiguity.
Benefits
- Base pay ranges from $152K/year to $277K/year depending on geographic market, knowledge, skills, and experience.
- Annual bonus opportunity of 0–20% of base salary.
- Medical, dental, vision, life, AD&D, disability, FSA, HSA, EAP, and 401(k) plan with company match.
- 18–21 days of paid time off annually based on tenure and 12 public holidays.
- Six weeks of paid parental leave and pre-tax commuter benefits.
- Free electric car charging station.
- Recruitment includes application review, phone interview, and onsite or virtual onsite interview.
Tech Stack
Apache AirflowApache SparkAWSGoogle BigQueryGoogle Cloud PlatformH2O.aiJavaKerasLightGBMMLflowPythonPyTorchscikit-learnTensorFlowXGBoost
Categories
About Coupang
Coupang is a technology and Fortune 150 company listed on the New York Stock Exchange (NYSE: CPNG) that provides retail, restaurant delivery, video streaming, and fintech services to customers around the world under brands that include Coupang, Eats, Play, Rocket Now, and Farfetch.