Senior Machine Learning Engineer

February 27

Matterport

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Digital Twin Platform

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

501 - 1000

💰 $295M Post-IPO Equity on 2021-07

Description

• Matterport is seeking an experienced Senior/Staff ML Ops Engineer to join our team. This position is eligible for remote work. • 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 our applications and services.• Collaborate with the Infrastructure team to ensure the reliability, scalability, and security of our 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

Requirements

• 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.• Nice to Have: 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 Snowflake, 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 – 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• Continuous Learning Opportunities • Medical and retirement benefits vary by Country• Belief in Diversity