200+ applicants

Company

Original Job Post

Matterport · 2 days ago

Machine Learning Operations Engineer

United States

Full-time

Remote

Senior Level

$106K/yr - $240K/yr

5+ years exp

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Responsibilities

Collaborate with machine learning engineers and data scientists to develop and implement efficient and scalable machine learning pipelines and workflows for training, validation, and deployment of models.

Design and implement monitoring and testing frameworks to ensure the accuracy, reliability, and performance of machine learning models in production environments.

Develop and maintain efficient and scalable data management processes for large-scale machine learning datasets.

Work with software engineers to integrate machine learning models into applications and services.

Collaborate with the Infrastructure team to ensure the reliability, scalability, and security of production systems.

Stay up-to-date with the latest trends and best practices in MLOps, machine learning, and data management.

Advocate for tools and technologies to accelerate research

Distribute neural network training across fleets of compute servers to leverage massive datasets

Optimize machine learning inference on mobile devices

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonMachine learningTensorFlowPyTorchMM detectionDetectronPytorch LightningMachine learning pipelinesContainerizationOrchestration toolsDockerKubernetesKubeflowMLFlowAWS cloud servicesData management processesDevOpsInfrastructure as CodeTerraformAnsibleCloudFormationVersion controlTestingDeploymentModel quantizationDistillationCompressionCommunicationCollaboration skillsC++

Required

Bachelor's degree in Computer Science, Electrical Engineering, or related field, or equivalent experience.

5-8+ years of experience in software engineering, MLOps, 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.

Preferred

Master's degree or PhD in Computer Science, or related field

Strong knowledge of C++

Experience with 3D graphics, computer vision, point clouds, or spatial data

Experience with data streaming and real-time processing frameworks such as Kafka

Experience with ML dataset management tooling, such as Activeloop Deeplake..

Experience with database technologies such as PostgreSQL, MySQL, or MongoDB.

Experience with big data technologies such as Hadoop, Spark, or Hive.

Experience with model interpretability and explainability techniques.

Experience with building and deploying machine learning models on edge devices or IoT devices.

Benefits

Comprehensive health plans

Flexible Time Off

401k

Company ownership in the form of RSU’s & ESPP Program

Company

Matterport

Glassdoor

2.6

Matterport digitizes spaces into accurate, immersive 3D digital twins with its all-in-one platform.

Founded in 2011

Sunnyvale, California, USA

501-1,000 employees

http://www.matterport.com

H1B Sponsorship

Matterport has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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2020 (2)