Senior Machine Learning Engineer

About PayPay

PayPay is a fintech company that has grown to over 57M users since its launch in 2018. Our team is hugely diverse with members from over 50 different countries. To build "PayPay", we allied with Paytm; the biggest payment service company in India. Based on their customer-first technology, we created and expanded the smartphone payment service in Japan. Our biggest competitor is "cash". We seek people who can accept this challenge positively, brush up the product at a tremendous speed, and promote PayPay with professionalism and passion.

Missions

• To drive value-added product improvements by engineering systems founded on a scientific understanding of user and merchant behavior
• Our scope of work spans engineering, product science, data science, machine learning, statistical inference, optimization, and BI analytics

Responsibilities

• Research, design, and build machine learning systems for prediction, recommendation, and automation
• Execute the key phases of the ML lifecycle including data extraction, exploratory data analysis, data preparation, model development and training, model evaluation and validation, and model serving
• Build monitoring tools and pipelines for automated training and deployment
• Collaborate with data scientists, data engineers, product managers, and stakeholders to build robust production systems

Required Qualifications

• Bachelors in a quantitative field such as Computer Science, Mathematics, Statistics, Machine Learning, or equivalent
• Excellent verbal and written communication skills in English and/or Japanese
• More than five years of experience as a data scientist, machine learning engineer, or equivalent role
• Experience in at least one primary language (e.g., Java, Scala, Python) and SQL (any variant)
• Experience in one or more machine learning frameworks such as TensorFlow, PyTorch, Theano, etc.

Preferred Qualifications

• Masters or PhD in a quantitative field such as Computer Science, Mathematics, Statistics, Operations Research, Machine Learning, or equivalent
• More than seven years of experience as a data scientist, machine learning engineer, or equivalent role
• Experience building and maintaining microservices
• Experience with Big Data technologies like BigQuery, Spark, Hadoop, AWS Redshift, Kafka, or Kinesis streaming
• Experience with AWS services such as Glue, SageMaker, Athena, and S3
• Extensive knowledge and work experience in recommendation systems, deep learning, NLP, and optimization
• Experience maintaining data security and privacy
• Expertise in MLOps frameworks, CI/CD pipelines, and automation

PayPay 5 senses

• Please refer PayPay 5 senses to learn what we value at work.

Working Conditions 

Employment Status

• Full Time

Office Location

• WFA(Work From Anywhere at Anytime)  
• Remote Job 
• You can live anywhere in Japan 

Work Hours

• Super Flex Time (No Core Time)
• In principle, 10:00am-6:45pm (actual working hours: 7h45m + 1h break)

Holidays

• Every Sat/Sun/National holidays (In Japan)/New Year's break/Company-designated Special days

Paid leave

• Annual leave (up to 14 days in the first year, granted proportionally according to the month of employment. Can be used from the date of hire)
• Personal leave (5 days each year, granted proportionally according to the month of employment)
  ＊PayPay's own special paid leave system, which can be used to attend to illnesses, injuries, hospital visits, etc., of the employee, family members, pets, etc.

Salary

• Annual salary paid in 12 installments (monthly)
• Based on skills, experience, and abilities
• Reviewed twice a year
• Special Incentive once a year *Based on company performance and individual contribution and evaluation
• Late overtime allowance, Work from anywhere allowance (JPY100,000)

Benefits

• Social Insurance (health insurance, employee pension, employment insurance and compensation insurance)
• 401K
• Language Learning support
• Translation/Interpretati