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Sr. Machine Learning Engineer 1020 views

iRobot Corporation, with a mission of “empowering people to do more”, is at the forefront of the development of robotics and artificial intelligence technologies. iRobot has become one of the world’s preeminent specialist designers and builders of consumer robots. iRobot invests in the development and growth of its people, in a culture of empowerment, innovation, and fun. Come work with some of the most talented and influential people in the robotics field utilizing cutting edge technologies, in an exciting, fast-growing industry!

Their team’s mission is to lead the intelligence revolution for robots, leveraging the power of Machine Learning. Join their Machine Learning team to help them make their robots smarter! If you have a passion for machine learning and working on data at scale, let’s talk.

What you will do:

  • Work with state-of-the-art tools and frameworks to build scalable and efficient machine learning solutions
  • Work closely with machine learning engineers and data platform team to enable faster ML based application development

To be successful you will have:

  • 5+ years experience and a bachelor’s degree, or 3+ years experience and a Masters in CS, data engineering or other related fields
  • 3+ years of software development with Python
  • 3+ years of experience with machine learning, data engineering and deep learning frameworks
  • 3+ years of applied deep learning solution development
  • Strong communication skills
  • Experience working with image and video data

Desired Qualifications:

  • Experience with Kubernetes and Kubeflow
  • Experience with test driven development
  • Experience working with public cloud providers (AWS or GCP or Azure)
  • Experience with Sagemaker
  • Previous experience building machine learning pipelines
  • Experience with embedded machine learning
  • Experience with web frameworks such as Django
  • Experience working with Serverless cloud computing services

In return you can expect:

  • A supportive environment to learn and grow with cutting edge technologies
  • Opportunity to help design and influence production systems

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