MLOps Engineer - Supercomputing - Remote

Overview

Coastal Carbon is a seed-funded startup on a mission to create positive impact through earth observation and AI, seeking an MLOps Engineer to help manage large-scale experiments and infrastructure for foundation models.

In Short

• Join a startup focused on AI and earth observation.
• Work with large-scale machine learning models on GPUs.
• Implement scalable pipelines for model optimization.
• Collaborate with scientists on cloud supercomputing infrastructure.
• Manage GPU supercomputing clusters for training models.
• Utilize Infrastructure as Code best practices.
• Strong preference for in-person work in Waterloo, remote possible for exceptional candidates.
• 3+ years of relevant experience required.
• Experience with AWS, GCP, or Azure preferred.
• Proficiency in Python or other scripting languages is a plus.

Requirements

• Bachelor’s degree in computer science, engineering, or equivalent experience.
• 3+ years of relevant work experience.
• Experience with scalable training-inference pipelines.
• Familiarity with AWS, GCP, Azure.
• Strong preference for in-person in Waterloo, remote possible for exceptional candidates.

Benefits

• Work in a mission-driven startup.
• Collaborate with a team of PhDs and engineers.
• Opportunity to impact nature conservation and climate tech.
• Flexible working arrangements.
• Access to cutting-edge technology and infrastructure.