Machine Learning Science Graduate - Masters (AI)

TL;DR

Machine Learning Science Graduate (AI): Researching and applying machine learning models to improve travel experiences, from building pipelines and prototyping new models to applying techniques to high-volume services. Focus on innovating travel search and optimization through data analysis, model engineering, and communication of complex topics.

Location: Must be willing to relocate to city of job location if outside commuting distance. Hybrid work policy

Salary: The total cash range for this position in San Jose is $122,500.00 to $171,500.00. The total cash range for this position in Seattle, WA is $112,000.00 to $156,500.00

Company

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

What you will do

• Apply statistical methods and Natural Language models to analyze data and A/B tests.
• Communicate complex analytical topics to partners and senior leadership.
• Conduct feature engineering and modify existing models to suit business needs.
• Develop domain expertise in fraud & risk to detect risky transactions.
• Model complex online travel data to understand, predict, and optimize business metrics.
• Frame business problems as data science problems.

Requirements

• Must be available to start on August 17, 2026
• Must be graduating between December 2025 and July 2026 with a Masters degree in a technical, or analytical-related subject such as Computer Science (with focus in areas like Artificial Intelligence, Machine Learning, Natural Language Processing, Data Mining, Data Science), Mathematics, Physics, Statistics, Operations Research, Electrical & Computer Engineering.
• Understanding of ML techniques like Regression, Naïve Bayes, Gradient Boosting, Random Forests, SVMs, and NLP.
• Experience with programming, statistical, and querying languages like Python, R, SQL/Hive, Java
• Familiarity with distributed file systems, scalable datastores, distributed computing and related technologies (Spark, Hadoop, etc.)
• Familiarity with cloud computing, AWS specifically, in a distributed computing context.

Culture & Benefits

• Hybrid work policy.
• Travel discounts.
• Medical, dental, and vision insurance options.
• Travel and wellbeing reimbursement.
• Restricted Stock Units.
• Employee Assistance Program and other mental health support.

Hiring process

• Complete an immersive strength based online assessment.
• Selected candidates may also be asked to take a skills-based screening assessment.
• Final round interview will have the opportunity to meet with members of our team through two virtual interviews covering both technical and behavioral skills related to the position.