Machine Learning Engineer

Mercari is a Japan-based marketplace company founded in 2013 with the mission to create value in a global marketplace where anyone can buy & sell. The company has grown significantly since its inception, expanding from being the top player in the C2C marketplace in Japan to new geographies like the U.S.

Our organization and each of our employees share the same values and perspectives. Our individual guidelines for action are defined by our four values: Go Bold, All for One, Be a Pro, and Move Fast. Our organization is also shaped by our four foundations: Sustainability, Diversity & Inclusion, Trust & Openness, and Well-being for Performance.

• Develop functions and services of the marketplace app through the development and maintenance of machine learning systems like Recommender systems while leveraging necessary infrastructure and companywide platform tools.

Bold Challenges

• We are looking for people who are interested in our services, mission, and values, and want to work where engineers can go bold, use the latest technology, make autonomous decisions, and take on challenges at a rapid pace.
• Develop and optimize machine learning algorithms and models to enhance recommendation system to improve discovery experience of users
• Collaborate with cross-functional teams and product stakeholders to gather requirements, design solutions, and implement features that improve user engagement
• Conduct data analysis and experimentation with large-scale data sets to identify patterns, trends, and insights that drive the refinement of recommendation algorithms
• Utilize machine learning frameworks and libraries to deploy scalable and efficient recommendation solutions.
• Monitor system performance and conduct A/B testing to evaluate the effectiveness of features.
• Continuously research and stay updated on advancements in AI/machine learning techniques and recommend innovative approaches to enhance recommendation capabilities.

• Over 2+ years of professional experience in end-to-end development of large-scale ML systems in production
• Strong experience demonstrating development and delivery of end-to-end machine learning solutions starting from experimentation to deploying models, including backend engineering and MLOps, in large scale production systems.
• Experience using common machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, NumPy, pandas)
• Deep understanding of machine learning and software engineering fundamentals
• Basic knowledge and skills related to monitoring system, logging, and common operations in production environment
• Communication skills to carry out projects in collaboration with multiple teams and stakeholders

Work with the latest technologies and innovations in AI and machine learning.

Collaborate with cross-functional teams to deliver cutting-edge solutions.

Enjoy a dynamic and fast-paced work environment.

Opportunities for professional growth and development.

A competitive compensation and benefits package.

And more

By joining us, you'll be part of a community that's passionate about innovation and making a difference.

We're committed to diversity, equity, and inclusion, and we strive to create an environment where everyone feels valued and respected.

So if you're ready to take on new challenges and be part of something exciting, let's talk