・Maintain and continuously improve large scale iterative labelling, experimenting, training, and deploying processing pipelines for modern deep learning on cameras, LiDARs, radars, and other sensor data.
・Communicate, scope and design new features to meet the needs of clients inside and outside of the company
・Develop and integrate data handling tools and work with teams to provide ground-truth in support of machine learning and simulation.
・Live and breathe the software practices that produce maintainable code, including automated testing, continuous integration, code style conformity, and code review.
・Service oriented architecture
・Experience with devtools: Jira, Github, Gitlab, Jenkins, Artifactory
・Experience with building, owning, managing and operating data platforms
・Infrastructure as Code: Terraform
・AWS experience including:
・・・Compute: EC2, ECS, EKS, Lambda, Batch
・・・Database: DynamoDB, Redshift
・・・Networking: API Gateway
・・・Security / Identity: IAM, Cognito
・・・Application Integration: Step functions, SQS, SNS
・Big Data / Analytics: Glue, EMR, Athena, Kinesis, ElasticSearch, Quicksight, Spark
We require experience with one of the following:
・Computer vision and image processing
・Sensor processing and fusion
・Time series data processing
・Deep learning frameworks and building software on top of these frameworks such as PyTorch and Tensorflow
・Excellent communication and organization skills
・Business level English
・Strong sense of ownership