Senior Machine Learning Scientist (AI)

TL;DR

Senior Machine Learning Scientist (AI): Building and optimizing recommendation models for CRM use cases with an accent on personalized email campaigns and retention strategies. Focus on applying deep learning and causal inference to customer interaction data, designing A/B experiments, and deploying models at scale.

Location: United States - Washington - Seattle

Salary: $173,000.00 to $242,500.00 in Seattle

Company

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

What you will do

• Build and optimize recommendation models for CRM use cases, including personalized email campaigns and retention strategies.
• Apply deep learning and causal inference to sparse, noisy, and dynamic customer interaction data.
• Design and analyze A/B experiments to validate model performance and drive product decisions.
• Collaborate with ML Engineers to deploy models at scale, ensuring robustness and reliability in production environments.
• Translate business objectives into measurable machine learning goals aligned with customer engagement outcomes.
• Stay current with advancements in recommendation research, deep learning architectures, and personalization systems.

Requirements

• PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field; or equivalent professional experience.
• 8+ years of related industry experience.
• Experience building production-grade recommendation or personalization systems.
• Strong understanding of collaborative filtering, deep learning for recommendations, reinforcement learning, and causal inference.
• Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.
• Experience with distributed systems like Apache Spark.

Nice to have

• Experience in the travel or e-commerce industry.
• Familiarity with cloud platforms (AWS, GCP, Azure).
• Publications in top-tier ML conferences or journals.
• Contributions to open-source ML projects.

Culture & Benefits

• Full benefits package, including exciting travel perks, generous time-off, parental leave, and a flexible work model.
• Career development resources to fuel employees' passion for travel.
• Wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership.
• Committed to creating an inclusive work environment with a diverse workforce.