Software Engineer - ML Pricing

Location: Office - Washington-Seattle

Department: Engineering

What You'll Do

• Platform Leadership: Lead the architecture, design, and implementation of the AI/ML feature platform, focusing on scalability, reliability, and high performance for core business systems (e.g., pricing, transaction platforms).
• Feature Engineering Infrastructure: Design and build large-scale data pipelines responsible for generating, indexing, and versioning AI-derived features (predictions, embeddings) from structured and unstructured data, with a specific emphasis on image and video data.
• AI Integration: Ensure seamless integration of ML capabilities into production, setting technical standards for real-time AI consumption and agentic optimization within pricing and customer-facing products.
• Cross-Functional Collaboration: Partner closely with Data Science, Product, and Operations teams to translate business needs into technical requirements, ensuring the platform delivers tangible business outcomes like reduced spreads and increased transaction volume.
• Mentorship & Direction: Serve as a technical mentor and leader, setting the technical direction and best practices for the new AI/ML platform group.

What You'll Need

• Extensive experience as a technical leader (Staff/Senior Staff level) in large-scale, production software and data environments.
• Proven track record of designing and implementing ML/Data Platforms or Feature Stores that directly support production AI/ML models.
• Deep expertise in distributed systems, cloud infrastructure, and large-scale data processing (e.g., vector search, data versioning).
• Strong background in data infrastructure and API design, particularly serving data for machine learning consumption.
• Experience in a domain where AI/ML is critical to the core business (e.g., pricing, optimization, recommendations).

Highly Sought-After Skills

• Prior experience with computer vision pipelines or handling large-scale image/video data for ML.
• Familiarity with the technical challenges of managing compute and data versioning to optimize ML iteration cycles.
• Experience with agentic optimization frameworks.

Compensation

The base pay range for this position is $247,000.00 - $339,900.00  annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.