Principal Machine Learning Scientist (AI)

TL;DR

Principal Machine Learning Scientist (AI): Developing and implementing machine learning solutions to combat fraud and protect travelers, with an accent on auto-prevention rates and reducing operational queuing. Focus on applying Generative AI techniques to address evolving fraud challenges in a high-scale, data-rich environment.

Location: San Jose or Seattle, USA

Salary: $242,000.00 to $387,000.00 in San Jose, $224,000.00 to $358,500.00 in Seattle

Company

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

What you will do

• Design end-to-end ML solutions based on business requirements, including approach, algorithm choice, data strategy, deployment, and monitoring.
• Build production-grade data and machine learning pipelines that support batch and streaming applications.
• Apply sequential models and Graph Neural Networks to solve real-world problems.
• Lead and mentor others in all machine learning activities.
• Configure, maintain, and optimize storage and processing environments (cloud, on-premises, cluster management, etc.).
• Advise business leaders in complex settings to create and enable robust machine learning solutions with high impact.

Requirements

• Bachelor's, Master's, or Ph.D. degree in a technical field or equivalent related professional experience.
• Expertise in more than one major ML programming language (Python, R, Scala, etc.).
• Experience leading large data science technical programs, delivering successful outcomes typically involving cross-functional teams of 10+.
• In-depth understanding of all aspects of machine learning theory.
• Strong experience in application in an industrial setting and crafting robust solutions relatively quickly.
• Expertise in configuring, maintaining, and optimizing storage and processing environments (cloud, on-premises, cluster management, etc.).

Nice to have

• Advanced domain knowledge in fraud, e-commerce, and operational applications of ML.
• Advanced experimental design.
• Expert knowledge of HTML/CSS/JavaScript.

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 and travel discounts.
• International Airlines Travel Agent (IATAN) membership.
• Inclusive work environment with a diverse workforce.