Machine Learning Science Graduate (AI)

TL;DR

Machine Learning Science Graduate (AI): Inventing new techniques to power global travel by building pipelines and prototyping ML models with A/B testing, and applying new techniques to high-throughput services with an accent on API design, database performance, and scalability. Focus on applying statistics, natural language models, feature engineering, and modeling complex online travel data to optimize business metrics and traveler experience.

Location: Hybrid in San Jose, CA or Seattle, WA. Must be willing to relocate to the city of job location if outside commuting distance.

Salary: For San Jose, CA: $122,500.00 – $196,000.00. For Seattle, WA: $112,000.00 – $179,000.00.

Company

hirify.global designs cutting-edge tech to make travel smoother and more memorable, and creates groundbreaking solutions for partners.

What you will do

• Invent brand-new techniques to power global travel experiences.
• Build pipelines and prototype new ML models with A/B testing.
• Apply statistics methods and Natural Language models to optimize business metrics.
• Conduct feature engineering and modify existing models/techniques to suit business needs.
• Develop domain expertise in fraud & risk to understand how to detect risky transactions.
• Model rich and complex online travel data to understand, predict and optimize traveler experience.

Requirements

• Must be available to start on August 17, 2026.
• Must be graduating between December 2025 and July 2026 with a PhD degree in a technical or analytical-related subject (e.g., Computer Science with focus in AI, ML, NLP, Data Mining, Data Science, Mathematics, Physics, Statistics, Operations Research, Electrical & Computer Engineering).
• Must be willing to relocate to San Jose, CA or Seattle, WA if outside commuting distance.

Nice to have

• Understanding of ML techniques like Regression, Naïve Bayes, Gradient Boosting, Random Forests, SVMs, Neural Networks, and NLP.
• Experience with programming, statistical, and querying languages like Python, R, SQL/Hive, Java.
• Familiarity with distributed file systems, scalable datastores, distributed computing (Spark, Hadoop) and AWS.

Culture & Benefits

• Full benefits package including exciting travel perks, generous time-off, and parental leave.
• Flexible hybrid work model with cool offices.
• Career development resources to fuel passion for travel.
• Wellness & travel reimbursement, travel discounts, and IATAN membership.
• Medical, dental, and vision insurance options.
• Restricted Stock Units and pet insurance.
• Fosters an open culture where everyone belongs and differences are celebrated.

Hiring process

• Complete an immersive strength-based online assessment.
• Selected candidates may take a skills-based screening assessment.
• Two virtual interviews covering technical and behavioral skills.