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# Senior ML Engineer (Technical Lead)

- **Company:** Valeda Company, LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $140,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Information Engineering, Machine Learning, Routing, Software Engineering, Enterprise Software Applications, Information Technology, Machine Learning Operations, Data Pipelines
- **Published:** August 26, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pfdzl6tsoa

## About the Role

* Education: Bachelors or Masters in Computer Science or related field.
 * Broad ML Knowledge: familiarity with the breadth of ML approaches and their relative strengths and weaknesses.
 * Production ML Expertise: 4+ years in designing, training, and deploying ML models in production environments.
 * Engineering Foundation: Strong software engineering skills with experience building robust, automated data pipelines.
 * Startup DNA: Comfortable with the "0 to 1" phase-ambiguity, fast iteration, and taking extreme ownership.

Bonus Requirements

 * Travel Tech: Previous experience with OTAs, metasearch, or GDS/NDC integration is a significant plus.
 * Large scale applications: experience building applications serving over 10K QPS at latencies on the order of 1 sec.
 * Education: Ph.D. in Computer Science and/or educational concentration in Data Science

## Description

* Model Architecture: Design and implement high-performance, low-latency ML models for fare and itinerary estimation.
 * Data Engineering: Build and maintain robust data pipelines to process massive volumes of historical fare and schedule data.
 * Intelligent Routing: Develop confidence scoring systems to intelligently route traffic between ML models and current legacy stacks.
 * Domain leadership: develop core domain expertise in the field of using ML for fare and itinerary prediction.
 * Technical Leadership: hire, lead and mentor other engineers as the team grows.
 * Strategic Collaboration: Partner alongside the founders with key organizations in the industry in developing the core Zerolook offering.


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