Lead ML Platform Software Engineer
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Job Description
Lead ML Platform Software Engineer at Glydways enhancing mobility with carbon-neutral transit solutions. Responsible for building and maintaining ML platforms for autonomous driving systems.
Responsibilities:
- Leading efforts by internal and external resources to build, maintain, and improve ML platforms and workflows.
- Introducing and customizing automation into data extraction and labeling pipelines.
- Design and improve metrics pipelines and create monitoring dashboards to track performance of perception systems in production.
- Build and maintain infrastructure and ETL pipelines for training, validating, and deploying ML models.
- Build and maintain infrastructure for interfacing with third party labeling companies.
- Ensure reproducibility, traceability, and observability of Perception workflows.
Requirements:
- Strong Python or C++ skills
- Cloud workflow frameworks for ML (e.g. Ray, Argo, Kubeflow)
- Building ML platforms and pipelines
- Leadership of cross functional teams and collaborations
- Experience with large multimodal datasets and their curation.
- Self starter - experience developing a solution end-to-end starting from vague requirements in a cross team collaborative environment
- Strong customer focus oriented problem solving skills
- Strong communication skills and a collaborative mindset.
- 5+ years experience in Modern C++ design and development.
- Robotics and/or autonomous driving platform experience
- Implementation of end- to- end test and metrics workflows and dashboards
- Implementation of analytics and insight tools for AD datasets
- ML model deployment in production grade C++ software stacks
- Familiarity with containerization (Docker) and orchestration (Kubernetes) and cloud platforms (AWS)
- Experience in building 3D Visualization tools for LiDAR point cloud data
Benefits:
- Equal employment opportunities for all employees and applicants
- Prohibition of discrimination and harassment of any type
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