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 to drive product decisions.

Location: United States - California - San Jose

Salary: $187,000.00 to $261,500.00 (San Jose), $173,000.00 to $242,500.00 (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.

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.

Culture & Benefits

• Full benefits package, including travel perks, generous time-off, parental leave, and a flexible work model.
• Wellness & travel reimbursement and travel discounts.
• Employee Assistance Program.
• Inclusive work environment with a diverse workforce.