Lead AI Engineer for Cloud Backend Software Development

2 weeks ago

Cambridge, Cambridgeshire, United Kingdom Roku Full time

About the Role

Roku is looking for a highly skilled Senior Applied Machine Learning Engineer to join our team. As a key member of our engineering team, you will be responsible for the full model development life cycle and the full software development life cycle of cloud backend software.

Key Responsibilities

  • Deploying scalable, fault-tolerant computer vision and machine learning systems to production
  • Overseeing the full model development cycle: ideation, prototyping, implementation, deployment, testing, and operations
  • Designing uncertainty metrics and communicating results to a mix of technical and non-technical stakeholders
  • Gathering/compiling datasets, defining annotation ontologies, auditing the work of annotation operations, and taking responsibility for data quality
  • Staying up to date with industry/academic trends in computer vision and machine learning
  • Working closely with product and other engineering teams to implement new experiences and cloud services
  • Integrating services from other teams around the company, while also providing services to other teams
  • Evaluating and providing feedback on new platform technologies provided by other teams
  • Working with QA teams to address bugs and aid in automation of software as needed

We're Excited If You Have

  • Masters degree (PhD preferred) in the area of computer science or related field
  • At least five years of experience developing production applied machine learning systems using frameworks such as PyTorch or Tensorflow
  • At least two years of research or equivalent industry experience with state-of-the-art Image Processing, Computer Vision, or Natural Language Processing
  • Comfortable using cloud services for storing data, training and serving models from providers such as AWS, GCP, or Azure
  • Experience evaluating models and communicating findings
  • Experience building APIs with frameworks such as GraphQL or REST
  • Experience with workflow orchestration tools such as Airflow, Argo, AWS Step Functions, or Metaflow

Benefits

Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension).

The Roku Culture

Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams.

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