Senior Applied Machine Learning Engineer

August 10

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Description

• Contribute to the full model and software development life cycle of cloud backend software • Responsible for hands-on development and innovation of new products and features • Oversee deploying scalable, fault tolerant computer vision and machine learning systems to production • Gather/compile datasets, define annotation ontologies, and ensure data quality • Stay updated with industry trends in computer vision and machine learning

Requirements

• 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 • Experience with Docker / Kubernetes, IaC tools (Terraform, CloudFormation), Model Serving, C++, CUDA, CI/CD Automation, Python build/packaging tools

Benefits

• Global access to mental health and financial wellness support and resources • Local benefits may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension) • Time off for vacation and personal reasons