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Senior Manager ML Production Engineering
| Company | CoStar Group |
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| Location | San Francisco, CA, USA |
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| Salary | $160000 – $210000 |
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| Type | Full-Time |
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| Degrees | Master’s |
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| Experience Level | Senior |
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Requirements
- 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.
- 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.
- Excellent communication and collaboration skills.
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.
- Lead and manage senior engineers empathically; maximizing high talent individuals in dynamic product environments.
- Work with cross-functional teams across Product, Sales, Customer Success and Business Development.
- Advocate for new technical architecture and innovation.
- Implement and refine development and cross-functional processes.
- Hire, mentor, lead, and coach senior and principal engineers to meet their full potential.
- Act as a leader for implementing best-practices across the organization.
Preferred Qualifications
No preferred qualifications provided.
