The person filling this role will work across the entire product, from edge cameras and robots to cloud services and custom GPU farms, while working with some of the most talented engineers and data scientists in the industry. We work in an open and collaborative environment and will work with each individual to ensure that their jobs are fulfilling and have a tangible impact on customers and real-world applications. With your help, we will enable the next generation of vision AI. While we will collaborate with you to shape your role at Groundlight based on your unique skills.

Responsibilities:

Design, develop, optimize, and maintain machine learning models for various systems, including front-end integration, back-end services, edge devices, and cloud-based inference and training systems.
Collaborate closely with our ML scientists and product owners to translate functional requirements into detailed ML engineering plans and implement them in production systems.
Develop analytics, monitoring tools, and pipelines for data preprocessing, feature engineering, model training, and deployment.
Participate in on-call rotation to maintain production ML systems, troubleshoot models, and resolve customer issues related to AI performance.
Stay at the cutting edge of AI technology, experimenting and pushing the boundaries of what's possible with the latest ML frameworks and tools.

Requirements:

5+ years of production/cloud software engineering experience
Proven experience in collaborating with cross-functional teams, including ML scientists and engineers, to develop scalable ML models in production environments.
Experience with cloud-based ML services (AWS, GCP, etc.), edge computing, and GPU farm management.
Solid understanding of data science pipelines, model training, and real-time inference systems.
Passion for working in a fast-paced, collaborative environment with the latest advancements in AI technology.

This role is Full-Time in Seattle.

Groundlight AI

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