Description:

Matterport is seeking a Sr. Manager of ML Production Engineering to join the Vision & Learning team.
The role involves leading and managing the ML Production Engineering function and the engineering team responsible for Matterport’s 3D reconstruction pipeline.
The ideal candidate should thrive in dynamic environments and orchestrate high talent engineers to optimize ML Ops and Dev Ops for new and existing capabilities.
Responsibilities include collaborating with machine learning engineers and data scientists to design and implement efficient and scalable machine learning pipelines, monitoring and testing frameworks, and data management processes.
The position requires working with software engineers to ensure the seamless integration of machine learning models into applications and services.
The role reports to the Software Vice President for Vision & Learning.
Key tasks include bringing technical experience and leadership to critical systems, working cross-functionally to establish product definitions, leading and managing cross-functional engineering projects, and advocating for new technical architecture and innovation.
The candidate will also be responsible for hiring, mentoring, leading, and coaching senior and principal engineers.

Requirements:

A Master’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience is required.
Candidates should have 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 is necessary.
Candidates must have strong knowledge of machine learning pipelines and workflows for training, validation, and deployment of models, including experience with containerization and orchestration tools such as Docker, Kubernetes, Kubeflow, and MLFlow.
Strong experience with AWS cloud services is required.
Candidates should possess 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 is essential.
A strong understanding of software engineering best practices, including version control, testing, and deployment, is required.
Experience with model quantization, distillation, or other compression techniques is preferred.
Excellent communication and collaboration skills are essential.

Comprehensive health plans are offered, covering 100% of premiums for employees and 88% of dependent premiums for US employees.
Flexible Time Off for exempt employees and a generous PTO plan for non-exempt employees are provided, including Summer Fridays.
A 401k plan, company ownership in the form of RSUs, and an Employee Stock Purchase Program (ESPP) are included.
Medical and retirement benefits vary by country.
For more details, candidates can visit www.matterport.com/careers.