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Sr. Data Engineer – Machine Learning 1265 views

Do you want to steer the future of one of the largest consumer robot companies in the world? You will have a hand in developing the next generation of products that will live in millions of homes across the world. As a pioneer in the robot industry, their goal is to drive innovation, serve as an industry catalyst and change the world by empowering people to do more. If you have a passion for machine learning and building platforms at scale, let’s talk.

What you will do:

  • Work closely with machine learning engineers and data platform team to enable faster ML-based application development.
  • Work with state of the art tools and frameworks to build scalable and efficient solutions for data management, data preprocessing and dataset building.
  • Contribute to the architecture and implementation of efficient data ingestion, processing, and storage pipeline.
  • Help with data collection and data annotation efforts.


  • 5 years experience and a bachelor’s degree or 3 years experience and a Masters in CS, data engineering or other related fields
  • Knowledge of database systems, big data concepts and cluster computing frameworks (e.g. Spark, Hadoop, or other tools)
  • 3+ years of software development with object-oriented languages like Java, C++, or Python
  • Previous experience with big data applications
  • Experience with machine learning, data engineering, and deep learning frameworks
  • Strong communication skills

Desired Qualifications:

  • Previous experience building efficient large-scale data collection, storage, and processing pipelines
  • Understanding of cyber-security issues and best practices
  • Experience working with public cloud providers (AWS or GCP or Azure)
  • Cloud certifications will be a plus
  • Experience with Django or similar frameworks is a plus
  • Experience with Kubernetes is a plus
  • Experience working with Serverless cloud computing services is a plus

In return you can expect:

  • A supportive environment to learn and grow with cutting edge technologies

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