Description

As a Machine Learning Platform Engineer, you will be at the forefront of developing innovative ML technologies for Spectacles, collaborating with teams worldwide to build scalable solutions and optimize workflows in a dynamic environment.

Requirements

• •Excellent software design, development and debugging skills in ML systems
• •Proven track record of developing highly available systems dealing with large amounts of data
• •Working knowledge of ML fundamentals
• •Strong communications and interpersonal skills
• •Genuine passion for learning new things and helping colleagues improve
• •Ability to travel as needed
• •Bachelors’ degree in a technical field or equivalent experience
• •4+ years of relevant industry experience
• •Experience with Python, C++ or equivalent
• •Experience with machine learning platforms and infrastructure
• •Experience building large scale production machine learning systems or data pipelines
• •Experience with Docker, Kubernetes, Istio/Envoy, NoSQL solutions, Memcache/Redis, Google/AWS services
• •Experience with Tensorflow, PyTorch, or related deep learning frameworks
• •Experienced in MLOps: managing production machine learning lifecycle
• •Familiarity with Metaflow, Airflow, Kubeflow or similar workflow orchestration framework

Tasks

• •Support the development of machine learning technologies for Spectacles
• •Collaborate with global teams in machine learning and computer vision
• •Own the ML platform for training, evaluation, and deployment of ML models
• •Build scalable data and training pipelines
• •Deliver scalable, reproducible end-to-end ML workflows
• •Develop optimization and release toolchain for automated testing and validation
• •Implement CI/CD processes for machine learning
• •Advocate for best practices in scalability and cost management
• •Work with cross-functional engineering and research teams

Tools & Technologies

Benefits