Senior Machine Learning Engineer (Operations) - Lo...

Job description



Work Type


Application Posted

September 30, 2021

About the Role

Don your helmet and climb aboard if you’re ready to be our Machine Learning Intern. In this role, you will get to design and build Gojek's machine learning infrastructure and platform. Your efforts will be critical in ensuring rapid and reliable Machine Learning products and functionality for our consumer app and behind-the-scenes efficiency. In our humble opinion, the coolest part of this role is that your work will directly influence the production quality systems at all stages of the Machine Learning lifecycle for Gojek.

What You Will Do

  • Deploy the next generation of Machine Learning systems (such as inference search & recco models) that personalize user experience on Gojek using existing infrastructure and tools
  • Design, build, evaluate, ship, and refine products by hands-on Machine Learning development
  • Establish guidelines on infrastructure usage
  • Hands-on development on Machine Learning infrastructure and collaborate with Data Scientists to optimize Machine Learning models for high-throughput, low-latency use cases
  • Develop and deploy architectures through product engineering and existing model deployment tools

What You Will Need

  • At least 5 years of hands-on experience with large-scale systems in data science / software engineering / machine learning engineering
  • Strong background in machine learning deployment.
  • Hands-on experience implementing or prototyping machine learning systems at scale in Python, Java, Scala, Go or similar languages.
  • Proven track-record building large-scale, high-throughput, low-latency production systems
  • Experience with relational databases, non-relational databases (BigQuery, Postgres, Redis), cloud environments, and cloud deployment technology (Terraform, Kubernetes, Helm)
  • Experience with TensorFlow, PyTorch, and/or Google Cloud Platform is a plus
  • Experience with ElasticSearch is a plus
  • Experience with building data pipelines and getting the data you need to build and evaluate your models, using tools like Apache Beam, Spark, Kafka, MLFlow is a plus
About the Team
Loyalty, Incentives, and Monetization (LPM) Data team is distributed across Indonesia, Singapore, and India. The team helps various pods in engagement & monetisation topics within Gojek. Various teams within LPM group (among others) are CRM, Promo and Incentive Tools, GoClub (Gojek’s loyalty program). In addition to this, the team works very closely with the following teams outside LPM group: product strategy & planning teams, digital marketing, and consumer platform (care, home page, etc.).
An example of a problem that we solve includes designing an efficient loyalty program and the best data driven communication channels for our users. Should you have a question about which incentives to offer our customers to keep them engaged in the platform, we are your people! Currently, our team has been busy working on Machine Learning based voucher allocations, which will help Gojek to grow in efficient and scalable manners by recommending which incentives to offer our customers at the right time.
We are a tight-knit group made up of crypto-enthusiasts, national badminton champion, youtubers, and movie fanatics!. We work hard and play hard, and believe it or not, we actually enjoy each other’s company!

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