Machine Learning Scientist III (AI)

TL;DR

Machine Learning Scientist III (AI): Developing state-of-the-art machine learning algorithms to enhance customer experience across post-booking recommendations, customer service, and trip management use cases with an accent on inference problems arising from long-tail traveler data and multi-objective optimization problems. Focus on building effective solutions for travelers and partners, personalizing dynamic add-ons and upsells, and improving service experiences.

Location: United States - Washington - Seattle

Salary: $137,500.00 to $192,500.00 in Seattle.

Company

hirify.global brands power global travel for everyone, everywhere by designing cutting-edge tech to make travel smoother and creating groundbreaking solutions for partners.

What you will do

• Take ownership of the end-to-end ML lifecycle for your projects, from ideation and research to deployment and monitoring.
• Design and analyze tests to validate your models and quantify their business impact and design future iterations.
• Partner closely with product managers, engineers, and business stakeholders to understand requirements, define problems, and communicate your findings and results effectively.

Requirements

• PhD or MS in a quantitative field (e.g., Computer Science, Economics, Statistics, Physics).
• 3+ years of hands-on industry experience building and deploying machine learning models to solve real-world problems.
• Deep, practical knowledge of machine learning theory (supervised/unsupervised learning, deep learning) and statistical modeling and a strong command of experimental design (A/B testing) and causal inference to accurately measure impact.
• Able to design end-to-end ML solutions: framing the problem, choosing data sources, selecting algorithms, and defining evaluation strategy.
• Experience with the machine learning software development lifecycle, including experimentation, deployment, monitoring, and iteration in production.
• Strong programming skills in at least one major ML language (e.g., Python, Scala, Java) plus SQL; writes clean, modular, maintainable code.

Nice to have

• Domain knowledge in customer service, recommendation systems, operational applications of ML, and/or e-commerce.
• Experience with reinforcement learning or other advanced ML techniques is a plus.
• Experience building and deploying models using GenAI/LLM technologies.
• Experience translating research and academic papers into improved model designs and techniques.

Culture & Benefits

• Full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources.
• Wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership.