Machine Learning Engineer (AI/LLM)

TL;DR

Machine Learning Engineer (AI/LLM): Developing and optimizing ML models and infrastructure to maximize product impact for a global marketplace with an accent on NLP, computer vision, and multimodal learning. Focus on translating state-of-the-art AI/LLM research into scalable production systems for tens of millions of users.

Location: Hybrid in Minato City, Tokyo, Japan

Company

hirify.global is a marketplace app company focused on circulating all forms of value to unleash human potential through technology.

What you will do

• Design, build, and optimize ML models for large-scale production systems.
• Perform in-depth feature engineering for NLP, computer vision, and multimodal learning.
• Collaborate with cross-functional teams to integrate ML solutions into existing products.
• Design engineering infrastructure to support scalable machine learning systems.
• Conduct A/B testing and evaluations to assess and iterate on model performance.
• Research and translate the latest AI/LLM advancements into tangible business solutions.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow.
• Demonstrated experience in the end-to-end ML lifecycle, from development to deployment.
• English: Proficient (C1) level required.
• Strong analytical skills to solve complex, unstructured problems.
• Strong understanding of architectural patterns for large-scale software applications.

Nice to have

• Master’s or Ph.D. degree in Computer Science, AI, ML, or a related field.
• Background in generative AI, LLM, and natural language processing (NLP).
• Experience with multilingual and multimodal models, and efficient training/inference techniques.
• Participation in the open-source community and AI/ML project contributions.
• Japanese language proficiency (B2).

Culture & Benefits

• Full Flextime with no core hours for maximum flexibility.
• Engineering culture based on Passion for Product, Growing Together, Solving Through Mechanisms, and Open Collaboration.
• Opportunity to work with vast data assets to create high-impact user experiences.
• Inclusive work environment committed to diversity and equal opportunity.

Hiring process

• Application screening.
• Skill assessment via HackerRank or GitHub.
• Series of interviews and a reference check.