Software Engineer II, Shopping Core Ranking

Requirements:

• Bachelor’s degree or equivalent practical experience.
• 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 1 year of experience with data structures and algorithms.
• 1 year of experience implementing core ML concepts.

Nice to haves:

• Experience with MLOps practices, including model versioning, deployment, and monitoring.
• Experience in programming languages used in machine learning and data engineering (Python, C++).
• Familiarity with search evaluation and live experiment frameworks (e.g., Mendel).
• Understanding of large language models, deep learning, and machine learning principles, especially as applied to ranking.
• Expertise in building, maintaining, and optimizing large-scale data processing and machine learning pipelines (e.g., Tflex, Beam).

What you'll be doing:

• Design, develop, and ensure the reliability, performance, and quality of LLM-based ranking models.
• Improve model architecture, features, and training objectives for product and offer ranking enhancement.
• Maintain and enhance Gemini-based autoraters for generating training data labels.
• Manage, optimize, and develop complex Tflex data pipelines for model training.
• Design, run, and analyze large-scale live experiments using Mendel to validate changes and understand user impact.

Perks & Benefits:

• Opportunities to switch teams and projects as you and the business grow.
• Work on critical projects with the chance to shape the future of e-commerce search quality.
• Contribute to an end-to-end differentiable shopping quality stack.
• Be part of a team building AI-first technologies to serve billions of users.