Lead the research, design, and implementation of end-to-end machine learning solutions, from initial hypothesis and data exploration to A/B testing and production deployment.
Own the evaluation and "prompt engineering" strategy for Large Language Models (LLMs) to enhance product features like automated categorization and user communication.
Act as a strategic partner to Product and Engineering leaders, translating business goals into data science roadmaps that prioritize long-term customer experience over short-term gains.
Drive the next generation of Search and Personalization features; use LLMs to create "magic moments" for users while ensuring model outputs are safe, accurate, and valuable.
Directly influence key business KPIs (e.g., conversion, retention, fraud reduction) by identifying untapped opportunities within our BigQuery data warehouse.
Optimize our search ranking algorithms using modern learning-to-rank techniques; develop a robust framework for assessing and deploying LLM-based agents; refine our "Crime Risk" and user reputation models to maintain a safe marketplace.

Requirements

5+ years of building and shipping ML models and data solutions with quality.
4+ years of professional software development in Python.
Strong proficiency in querying and retrieving data using SQL from large-scale distributed systems.
Ph.D. or Master’s Degree in Computer Science, Mathematics, Statistics, or a related technical field OR Bachelor’s degree and relevant work experience.
Deep understanding in a classical NLP method (e.g. n-grams, NER, POS tagging) and ML tasks (e.g. semantic analysis, text classification).
Practical experience with LLMs, deep models (RNN, LSTM) and their applications is highly preferred.
Proficiency in deep learning frameworks such as PyTorch, TensorFlow or Keras.
Experience training models in cloud environments (Databricks/Sagemaker preferred).
Proven track record of mentoring junior or mid-level team members and performing high-quality code and design reviews.
Collaborative mindset with experience contributing to project roadmaps and technical documentation.
Impact-oriented: Experience delivering end-to-end projects that solve complex business problems.
Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningA/B testingprompt engineeringLarge Language ModelsSQLNLPdeep learningPyTorchTensorFlowKeras

Soft Skills

strategic partnershipmentoringcollaborationcommunicationimpact-oriented

Certifications

Ph.D.Master’s DegreeBachelor’s degree