We are looking for a Software Engineer (Machine Learning & Recommendation) to join Mercari, a leading marketplace app. As a key member of our engineering team, you will develop and maintain machine learning systems like Recommender systems to enhance the user discovery experience. You will work closely with cross-functional teams and product stakeholders to design and implement features that improve user engagement. We are seeking a strong candidate with experience in machine learning and software engineering fundamentals, as well as a deep understanding of machine learning frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn. You will have the opportunity to work on a wide range of projects, from experimentation to deployment, and will be responsible for monitoring system performance and conducting A/B testing to evaluate the effectiveness of features. We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. If you are a motivated and talented individual who is passionate about machine learning and software engineering, we encourage you to apply for this exciting opportunity.
Key Responsibilities:
- Develop and optimize machine learning algorithms and models to enhance the recommendation system and improve user discovery experience
- Collaborate with cross-functional teams and product stakeholders to design 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
Requirements:
- 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
- Strong analytical and problem-solving skills
- Basic knowledge and skills related to monitoring system, logging, and common operations
- Communication skills to carry out projects in collaboration with multiple teams and stakeholders
- Possess strong product engineering mindset
Preferred:
- Experience developing Recommender systems utilizing large-scale data sets
- Functional development and bug fixing skills necessary to improve system performance and reliability
- Using container technology such as Docker and Kubernetes
- Using cloud platforms (AWS, GCP, Microsoft Azure, etc.)
- Microservice development and operation experience with Docker and Kubernetes
- Utilizing deep learning models in production
Language:
- Japanese: Basic (CEFR - A2) [Preferred]
- English: Basic (CEFR – A2)
Recruiting Process:
- Application screening
- Skill assessment: For engineering positions, you will be asked to complete a skill assessment on HackerRank or GitHub. For non-engineering positions, you may be asked to complete an assessment depending on the position.
- Interview: The number of interviews may vary depending on the position.
- Reference check: We will ask for online references around the timing of the final interview.
- Offer: Offers will be determined carefully in consideration of the final interview and the reference check.
Equal Opportunity Hiring:
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.
Learn More:
- Careers site: https://careers.mercari.com/en/
- Mercan: https://mercan.mercari.com/en/
- Social media: X / Linkedin
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