Our mission at Greenhouse is to make every company great at hiring – so we go to great lengths to hire great people because we believe that they're the foundation of our success. At Greenhouse, you'll join a team that collaborates purposefully, fosters inclusivity, and communicates with transparency and accountability so we can help companies measurably improve the way they hire.

Join us to do the best work of your career, solving meaningful problems with remarkable teams.

Greenhouse is looking for a Senior Machine Learning Engineer to join our team!

In this role, you'll work with our team to develop machine learning models that enhance Greenhouse products like ai agents, resume parsing/anonymization, hiring, sourcing, and predictive analytics. Additionally, we serve to support other product engineering teams on their journey of implementing more machine learning capabilities. You'll collaborate with data science, product, and engineering teams to deploy, monitor, and maintain these models, allowing you to refine your skills and contribute to key projects.

Who will love this job

• A Deep Learning Practitioner - you are eager to unlock the potential of deep learning for various applications
• A Generalist - you have experience and the ability to perform a wide variety of software engineering tasks, which are necessary to develop, deploy, and monitor a new software application.
• A Collaborator - you are able to work with multiple teams to find the best way to use data to provide value to customers and will do everything needed to make that happen
• An Entrepreneur - someone whose values align with our vision on how A.I. can assist in the hiring process.

What you'll do

• Develop software applications with a strong focus on machine learning
• Train deep learning models using PyTorch and Transformers and experiment with (new) techniques to reduce their memory footprint, speed them up, or increase their accuracy

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