Research Intern, User Modeling and Personalization (Machine Learning)

Location: Bellevue or Los Angeles, United States; office work is expected 4+ days per week under hirify.global’s “default together” policy.

Salary: $69,000–$103,000 annually in Zone C, $77,000–$115,000 annually in Zone B, or $81,000–$121,000 annually in Zone A.

Company

hirify.global is a technology company operating hirify.globalchat, Specs, Bitmoji, Saturn, and other digital services focused on visual communication and human-centered computing.

What you will do

• Lead research projects in user modeling and personalization, including graph modeling, generative recommendation, personalization, and ML efficiency.
• Build scalable research prototypes for large-scale machine learning scenarios.
• Evaluate models through distributed training, inference, and experimentation.
• Develop methods that support personalized user experiences across hirify.global.
• Publish research findings at leading conferences.

Requirements

• Currently enrolled in a PhD program in computer science, machine learning, statistics, mathematics, or a related technical field, or have equivalent experience.
• Track record of co-first-author or first-author publications in leading machine learning, data mining, information retrieval, or language venues.
• Strong knowledge of state-of-the-art ML algorithms in user modeling, personalization, recommendation, or related areas.
• Familiarity with PyTorch, TensorFlow, JAX, or related ML frameworks.
• Experience with distributed multi-GPU or multi-node model training, inference, and experimentation.
• Strong computer science fundamentals, problem-solving, engineering, and research project leadership skills.

Nice to have

• Experience with large-scale machine learning in academic or industrial research labs.
• Experience with distributed data processing and ML frameworks on Google Cloud, AWS, or Azure.
• Familiarity with language models, generative recommendation, and retrieval.
• Experience translating research into tangible product improvements.
• Hands-on experience with scalable recommendation models and machine learning technologies.

Culture & Benefits

• In-person collaboration is emphasized through the “default together” office policy.
• Benefits include paid parental leave and comprehensive medical coverage.
• Emotional and mental health support programs are available.
• Compensation packages support participation in hirify.global’s long-term success.
• hirify.global is an equal opportunity employer committed to an inclusive workplace.