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 - California - San Jose

Salary: $149,000.00 to $208,500.00 in San Jose

Company

hirify.global brands power global travel for everyone, everywhere.

What you will do

• Design and implement ML solutions, taking ownership of the end-to-end ML lifecycle from ideation to deployment.
• Design and analyze tests to validate models and quantify their business impact.
• Partner with product managers, engineers, and business stakeholders to understand requirements and communicate findings.

Requirements

• PhD or MS in a quantitative field (e.g., Computer Science, Economics, Statistics, Physics) or Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience.
• 3+ years of hands-on industry experience building and deploying machine learning models to solve real-world problems.
• Strong programming skills in Python and its data science ecosystem (e.g., pandas, scikit-learn, pySpark), plus proficiency in SQL.
• Proven ability to design end-to-end ML solutions, including problem formulation, identification and preparation of data sources, algorithm selection, feature engineering, evaluation strategy, and production deployment and monitoring.
• Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, including experience with the machine learning software development lifecycle from experimentation through operational monitoring.

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.
• 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 travel perks, generous time-off, parental leave, and career development resources.
• Flexible work model with cool offices.
• Wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership.