Machine Learning Engineer – AI, LLM

Mercari, Inc.

Machine Learning Engineer at Mercari focused on optimizing ML models and feature engineering for AI-driven solutions. Collaborating with cross-functional teams and innovating with the latest advancements in AI.

Posted 5/26/2026full-timeMinato City • 🇯🇵 JapanMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

Develop and Optimize ML Models: Design, build, and optimize machine learning models to solve complex problems and perform specific tasks. Focus on optimizing model performance and scalability to handle large-scale production systems.
Feature Engineering: Conduct in-depth feature engineering to improve the robustness and accuracy of ML models, particularly in the context of natural language processing (NLP), computer vision, and multimodal learning.
Model Deployment and Integration: Collaborate with cross-functional teams to integrate ML solutions into existing products and services, ensuring seamless deployment and operational efficiency.
Research and Innovation: Keep up-to-date with the latest research and advancements in AI and machine learning, and related fields such as NLP and computer vision.
Engineering Infrastructure: Design engineering infrastructure to support machine learning systems at scale.
Experimentation and Testing: Conduct A/B testing, experiments, and evaluations to assess the performance and impact of ML models, using insights to inform further iterations and improvements.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow. Strong understanding of architectural patterns for large-scale software applications.
Demonstrated experience in the end-to-end ML lifecycle, from development to deployment.
Strong analytical skills with the ability to solve complex, unstructured problems.
Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Passion for the products and technologies.
Experience with deploying AI solutions in large-scale production environments.
Master’s or Ph.D. degree in Computer Science, AI, ML, or a related technical field.
Background in generative AI, LLM, and natural language processing (NLP).
Experience in multilingual and multimodal models, and efficient training and inference techniques.
Participation in the open-source community and contributions to AI/ML projects.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Mercari, Inc. Website LinkedIn All Job Openings 1001 - 5000 employees Founded 2013 🛍️ eCommerce 🏪 Marketplace 🌍 Social Impact eCommerce
Marketplace
Social Impact Mercari, Inc. is a marketplace platform that allows users to buy and sell various items, offering a convenient and efficient way for individuals to engage in commerce. The company emphasizes innovation, diversity, and inclusion in its work culture while striving to unleash the potential of its employees. With a commitment to sustainable practices, Mercari aims to create a positive impact within the communities it serves and beyond. Machine Learning Engineer – AI, LLM 🔥 50 minutes ago 🏢🏡 Minato City – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 Machine Learning Engineer 🗣️🇯🇵 Japanese Required Python PyTorch Tensorflow Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Develop and Optimize ML Models: Design, build, and optimize machine learning models to solve complex problems and perform specific tasks. Focus on optimizing model performance and scalability to handle large-scale production systems.
Feature Engineering: Conduct in-depth feature engineering to improve the robustness and accuracy of ML models, particularly in the context of natural language processing (NLP), computer vision, and multimodal learning.
Model Deployment and Integration: Collaborate with cross-functional teams to integrate ML solutions into existing products and services, ensuring seamless deployment and operational efficiency.
Research and Innovation: Keep up-to-date with the latest research and advancements in AI and machine learning, and related fields such as NLP and computer vision.
Engineering Infrastructure: Design engineering infrastructure to support machine learning systems at scale.
Experimentation and Testing: Conduct A/B testing, experiments, and evaluations to assess the performance and impact of ML models, using insights to inform further iterations and improvements. 🎯 Requirements
Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow. Strong understanding of architectural patterns for large-scale software applications.
Demonstrated experience in the end-to-end ML lifecycle, from development to deployment.
Strong analytical skills with the ability to solve complex, unstructured problems.
Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders.
Passion for the products and technologies.
Experience with deploying AI solutions in large-scale production environments.
Master’s or Ph.D. degree in Computer Science, AI, ML, or a related technical field.
Background in generative AI, LLM, and natural language processing (NLP).
Experience in multilingual and multimodal models, and efficient training and inference techniques.
Participation in the open-source community and contributions to AI/ML projects. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

machine learningPythonPyTorchTensorFlowfeature engineeringmodel deploymentA/B testingmultimodal learningnatural language processinggenerative AI

Soft Skills

analytical skillsproblem-solvingwritten communicationverbal communicationcollaborationinnovationpassion for technology

Certifications

Bachelor's degree in Computer ScienceMaster’s degree in Computer SciencePh.D. in Computer Science