Machine Learning Engineer, Credit ML

📋 Job Overview

Join Mercari, Japan's largest marketplace app, as a Machine Learning Engineer specializing in Deep Learning for Credit ML at Merpay. You will be a core member responsible for developing large-scale deep learning models for next-generation credit modeling, leveraging the diverse data from the Mercari ecosystem.

🏢 About Mercari

Circulate all forms of value to unleash the potential in all people. Mercari was born in 2013 out of the founder's desire to create a more sustainable society. We believe that by circulating all forms of value, not just physical things and money, we can create opportunities for anyone to realize their dreams and contribute to society and the people around them.

🎯 The Role

As a Machine Learning Engineer (Deep Learning), Credit ML at Merpay, you will play a central role in everything from evaluating model architectures and training strategies to production deployment and continuous improvement. You will be responsible for designing, developing, and improving core large-scale deep learning models for next-generation credit modeling.

✅ Key Responsibilities

• Design, development, and improvement of core large-scale deep learning models for next-generation credit modeling
• Production Deployment & Operations for Large-Scale Deep Learning Models
• Technical Decision-Making: Determining modeling policies and trade-offs
• Research & Application: Catching up with the latest research trends in fintech with deep learning
• Model operations & Continuous improvements
• Leading consensus-building and collaboration involving stakeholders
• Mentorship & Knowledge Sharing: Providing technical mentorship in deep learning to team members

📌 Required Qualifications

• Someone who can align with the mission and values of the Mercari Group and its companies
• 3+ years of experience in deep learning model development using deep learning frameworks such as PyTorch
• 1+ year of hands-on experience in pre-training 1B+ parameter Transformer-based models, LLMs, or foundation models from scratch
• Proven experience independently leading model training, experiment design, and result analysis
• 1+ year of practical MLOps experience in deploying and operating deep learning models in production environments
• Strong communication skills to collaborate smoothly with team members and cross-functional stakeholders

⭐ Desirable Experience

• Experience leading the design of data architectures, model architectures, objective functions, training recipes, and compute budgets for pre-training
• Experience adapting and evaluating pre-trained models for downstream tasks
• Experience with training acceleration, optimization, and tuning
• Experience optimizing and accelerating inference
• Experience in tabular data analysis and modeling
• Experience in data analysis and system development in cloud environments
• Experience as a team/project lead, as well as experience mentoring junior engineers
• Experience working in financial institutions or Fintech companies

🎁 Benefits

Competitive salary and benefits package, including health insurance, retirement plans, and professional development opportunities.

🛂 Visa & Eligibility

Mercari is committed to eliminating discrimination based on age, gender, sexual orientation, race, religion, physical disability, and other such factors so that anyone who shares our mission and values can join us, regardless of their background.