AI/ML Platform Engineer
Quick Summary
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,
Serve as a technical mentor and leader, setting the technical direction and best practices for the new AI/ML platform group.
About the Role
~1 min readResponsibilities
~1 min read- →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.
- 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).
- 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.
What We Offer
~1 min readThe 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.
Listing Details
- Posted
- February 26, 2026
- First seen
- March 23, 2026
- Last seen
- April 20, 2026
Posting Health
- Days active
- 27
- Repost count
- 0
- Trust Level
- 42%
- Scored at
- April 20, 2026
Signal breakdown
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