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Staff Machine Learning Infrastructure Engineer

Matterport is leading the digital transformation of the built world. Our groundbreaking spatial computing platform turns buildings into data making every space more valuable and accessible. Millions of buildings in more than 150 countries have been transformed into immersive Matterport digital twins to improve every part of the building lifecycle from planning, construction, and operations to documentation, appraisal, and marketing. We’re excited to announce that Matterport is now publicly listed on NASDAQ. It’s an exciting time to join us! Visit our Matterport Comparably Profile to learn more about working at Matterport and the awards we have won!


Matterport is a remote workplace with headquarters in Sunnyvale, CA. This position can be based remotely in the United States #LI-Remote

About the Role:The Vision & Learning team is responsible for building out the future of Matterport's core technologies, spanning the 3D reconstruction of spaces from physical data to the semantic understanding of our digital twins. Along with our ever-growing user base, the scales at which we need to apply these technologies and the massive datasets of complex real-world data upon which we're refining them are expanding rapidly. We see the challenges of these scales as opportunities, and we believe that efficient and robust infrastructure is central to surmounting them. 


Our ideal candidate for this role sees this opportunity and is passionate about building out the infrastructure that can make the most of it. They'll find excitement in accelerating the capture of small apartments with mobile devices and are eager to navigate the complexity and compute resources involved in correctly reconstructing massive museums and stadiums alike. They understand that data is essential to powering the machine learning approaches to such problems, and are already planning out how we'll train upon ever more examples per second.If grappling with terabytes of data, scaling cutting-edge computer vision and machine learning technologies, and creating value for real users appeals to you, then we’d love to talk!


What you will do:

  • Working side-by-side with the computer vision and deep learning engineers on the team and reporting directly to the VP of Software for Vision & Learning, you'll be responsible for accelerating the research and productization of Matterport's core technologies. 
  • You may expect to:
  • advocate for tools and technologies to accelerate research
  • organize and build out systems to make data accessible to the team
  • identify common threads in team activities and standardize experimental workflows, emphasizing metrics-driven research
  • distribute neural network training across fleets of compute servers to leverage massive datasets
  • optimize machine learning inference on mobile devices for near real-time use
  • liaison between research and platform teams at Matterport to facilitate rapid deployment and iteration of products


Who you are:

  • Some baseline experience and skills necessary to succeed in the role
  • 4+ years of software engineering experience
  • Experience building scalable backend services or data processing pipelines
  • Solid understanding of ML/DL fundamentals and production ML workflows
  • Ability to write performant, well-tested, production-ready Python code


Additional experience and skills that will help you succeed:

  • Experience with Docker/Kubernetes/Terraform/AWS/GCP
  • Experience training machine learning models using PyTorch or Tensorflow
  • Experience building deep learning pipelines including:
  • Metrics collection, experiment tracking and hyperparameter tuning (e.g. W&B, Comet.ML , DVC.org )
  • ML lifecycle platform utilization (e.g. SageMaker, Metaflow, MLflow)
  • Distributed training (e.g. DeepSpeed, Horovod)Experience optimizing model inference e.g. via quantization/pruning
  • Experience deploying trained models for inference on either:
  • Cloud, addressing issues of compute autoscaling
  • Mobile, addressing issues of model conversion (i.e. for iOS / Android)
  • Experience developing Python bindings or cloud interfaces to tooling written in C++


We want to hear from you! We are looking to build the best team of people who will be empowered to do their best work. If you have what it takes, but don’t necessarily meet every bullet in the job description we encourage you to apply.


Perks & Benefits

  • * Comprehensive health plans – 100% of premiums covered for employees. (90% of family premiums)
  • 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 
  • Continuing Education & Commuter Benefits       


For more detail visitwww.matterport.com/careers

* Medical and retirement benefits vary by Country


Belief in Diversity

At Matterport, we don’t just accept differences, we celebrate them and recognize the value they bring to our customers and employees. Matterport is proud to be an equal opportunity workplace and works to create and support diversity at Matterport. Equal opportunity and consideration are afforded to all qualified applicants and employees. We won’t unlawfully discriminate on the basis of gender, identity or expression, race, ethnicity, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, sexual orientation, and any other category protected by law. We are committed to providing employees with a work environment that provides a sense of inclusion and belonging and is free of discimination and harassment. We also consider all qualified candidates regardless of criminal histories, consistent with legal requirements. Matterport is likewise committed to working with and providing reasonable accommodation to all qualified applicants and employees with disabilities in accordance with the American Disabilities Act



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Company

Matterport

Location

United StatesRemote

Job type

Full-Time

Category

Machine Learning

Tags

3D ReconstructionAWSComputer VisionDeep Learning
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