Principal Machine Learning Scientist (AI)

TL;DR

Principal Machine Learning Scientist (AI): Drives the research, design, and deployment of advanced machine learning solutions for large-scale search and recommendation systems with an accent on multi-modal retrieval frameworks, intent understanding, and personalization strategies. Focus on developing cutting-edge sequential recommender systems and robust offline/online evaluation methodologies to maximize relevance and engagement.

Location: United States - California - San Jose

Salary: $242,000.00 to $387,000.00

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 our partners.

What you will do

• Drive the research, design, and deployment of advanced machine learning solutions for large-scale search and recommendation systems.
• Architect hybrid multi-modal retrieval frameworks, combining text, image, and structured data to power relevant and diverse content discovery.
• Develop and optimize multi-stage ranking pipelines, leveraging deep learning, generative retrieval, and other advanced algorithms to maximize relevance and engagement.
• Lead efforts on intent understanding, utilizing user queries, behavioral signals, and context for superior search and recommendation accuracy.
• Advance personalization strategies using embeddings, user-item modeling, and context-aware algorithms to tailor content to individual users.
• Mentor and guide a team of scientists, driving best-in-class research and deployment practices.

Requirements

• PhD, or MS, in Computer Science, Machine Learning, Statistics, Engineering, or a related field; or equivalent professional experience.
• 10+ years of related industry experience.
• Experience building production-grade search, recommendation, or personalization systems.
• Strong understanding of intent understanding techniques, retrieval methods, deep learning for recommendations, reinforcement learning, and causal inference.
• Proficiency in Python and ML frameworks such as TensorFlow, JAX, or PyTorch.
• Experience with large-scale distributed systems and big data technologies (e.g., Spark, Hadoop).

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.
• Experience in personalization systems.
• Experience taking models from prototype to production in collaboration with Machine Learning Engineering teams.

Culture & Benefits

• Full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model, and career development resources.
• Wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership.