What you will do

• Working with Data Scientists to build Machine Learning systems using your engineering experience. As an example, suppose that we want to build a fraud detection system, you will take care of building the services necessary for retrieving user history, transforming data, applying machine learning models and connecting to other services for appropriate actions. In some situations, you can build the whole Machine Learning application from end to end.
• Applying Machine Learning in personalization, deal recommedation or user behavior analysis.
  
• Designing and building data pipelines that serve Machine Learning models.
• Providing a platform that is super easy for Data Scientists to explore new features, build models and conduct A/B tests.
• Building framework for monitoring Machine Learning systems.

What you will need

• 4+ years of hand-on industrial experience with Big Data and Machine Learning.
• Good engineering skills. You have experience in building ML systems. The stack we use is, (you don’t have to know them all, we welcome the candidates to learn on the job!)
• Languages: Python, Scala, Java/Kotlin
• Framework: Bazel, Dagger, Vertx
• Infrastructure: GCP, AWS, K8s, BigQuery, Spark, Airflow, etc
• Strong understanding of mathematical foundations of Machine Learning algorithms. 
• Have practical experience in applying Machine Learning in personalization, deal recommedation or user behavior analysis.
• Strong product ownership. You take a high responsibility for what you build. You keep a high bar for product quality.
• Strong communication skills. This position requires working closely with business, product managers, and other stakeholders. 
• Being able to understand deeply what impacts the business, and drive the ML team to deliver those impacts are essential skills.
• If you are looking for a place to grow your career and impact millions of people, MoMo might be just the right place for you.