Senior Manager - Director of ML Production Engineering

January 14

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Logo of Matterport

Matterport

Matterport is a company that transforms business operations and real estate marketing through the use of digital twins and immersive 3D technology. Their solutions cater to property marketing, facilities management, and design & construction, enabling users to create and utilize 3D tours, floor plans, and high-quality photos to boost buyer and seller confidence and manage operations effectively. Matterport's technology helps reduce costs, improve productivity, and integrate with platforms like Procore and Autodesk for enhanced project communication. Their offerings empower modern real estate agents and facilities managers to enhance their listings and manage properties with greater efficiency.

3D Models • Computer Vision • Hardware • Real Estate • Insurance

501 - 1000 employees

Founded 2011

🏠 Real Estate

☁️ SaaS

💰 $295M Post-IPO Equity on 2021-07

📋 Description

• Matterport seeks an enthusiastic Sr. Manager of ML Production Engineer to join our Vision & Learning team. • You’ll be responsible for leading and managing the ML Production Engineering function and engineering team responsible for Matterport’s 3D reconstruction pipeline. • The ideal candidate is an individual who thrives in dynamic environments orchestrating high talent engineers to optimize ML Ops and Dev Ops for new and existing capabilities. • You will collaborate 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. • You will work with software engineers to ensure the seamless integration of machine learning models into our applications and services. • This position will report to the Software Vice President for Vision & Learning.

🎯 Requirements

• Master’s degree in Computer Science, Electrical Engineering, or related field, 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.

🏖️ Benefits

• Comprehensive health plans* – 100% of premiums covered for employees & 88% of dependent premiums for US employees • Flexible Time Off for Exempt Employees/Generous PTO plan for Non-Exempt Employees – Take time to rest, relax and explore! Plus we offer Summer Fridays! • 401k, Company ownership in the form of RSU’s & ESPP Program • Medical and retirement benefits vary by Country

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