Machine Learning Engineer

March 16

Orbital Sidekick

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Helping organizations meet their sustainability goals with our space-based hyperspectral data monitoring solutions

Oil • Gas • Space • Hyperspectral • Monitoring Services

11 - 50

Description

• Build out and design machine learning infrastructure for a team of data & remote sensing scientists • Responsible for owning infrastructure for experiment tracking, model training/inference, dataset version control, and imagery annotation campaign creation and data extraction • Setting up Machine Learning infrastructure including model repositories, experiment tracking, workflow orchestration (Prefect, Airflow, Dagster) Optimizing resources for both development and production in the cloudDeploying models for both batch and online inference Establish model monitoring, model registries, experiment tracking, CI/CD, and continuous training

Requirements

• 3+ years postgraduate experience as a MLEBS, MS, or PhD in Computer Science, Engineering, Physics, Mathematics or similar • Experience with deploying and monitoring models in clouds environments (AWS) • Ability to work independently as well as collaboratively in a startup environment • Comfortable with rapid decision-making and taking ownership of system design

Benefits

• Competitive compensation and equity packages • Company-sponsored 401K • Medical, dental, and vision insurance with 100% premiums covered by OSK for employees and 50% for dependents