Matterport is seeking a Senior Manager of Machine Learning Production Engineering to lead and manage the ML Production Engineering function and engineering team responsible for Matterport’s 3D reconstruction pipeline, to optimize ML Ops and Dev Ops for new and existing capabilities.
Requirements
- Strong proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, MMdetection, Detectron and, Pytorch Lightning.
- Strong knowledge of machine learning pipelines and workflows for training, validation, and deployment of models, e.g. Experience with containerization and orchestration tools such as Docker, Kubernetes, Kubeflow, MLFlow.
- Strong experience with AWS cloud services.
- Strong knowledge of data management processes for large-scale machine learning datasets.
- Experience with DevOps and Infrastructure as Code (IaC) tools such as Terraform, Ansible, or CloudFormation.
- Strong knowledge of software engineering best practices, including version control, testing, and deployment.
- Experience with model quantization, distillation or other compression techniques.
Responsibilities
- Bring technical experience & leadership to critical systems including Cloud Architecture, Machine Learning Operations, back-end Software Engineering, and Distributed Systems.
- Work cross-functionally to establish product definition and design as new capabilities are brought from development into production.
- Lead and manage cross-functional engineering projects with multiple stakeholders, with regular reporting to executive stakeholders.
- Lead by example as a working manager with strong hands-on engineering fundamentals.
- Work closely with internal and contracted data providers in development of dataset for training production networks as well as development networks.
- Implement and refine development and cross-functional processes
- Advocate for new technical architecture and innovation
Other
- Master’s degree in Computer Science, Electrical Engineering or a related field, from an accredited, not-for-profit University or College, or equivalent experience.
- 5 - 8+ years of experience in software engineering, Dev Ops & ML Ops, or related fields.
- Excellent communication and collaboration skills.
- US: We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply.
- CoStar Group is not able to provide visa sponsorship for this position.
