Machine Learning Engineer

<div class="content-intro"><p>Our <a href="https://www.greenhouse.com/mission" target="_blank">mission</a> 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. </p> <p>Join us to do the best work of your career, solving meaningful problems with remarkable teams.</p></div><p><span style="font-weight: 400;">Greenhouse is looking for a <strong>Machine Learning Engineer </strong></span><span style="font-weight: 400;">to join our team!</span><em><span style="font-weight: 400;"><br></span></em></p> <p>In this role, you'll work with our team to develop machine learning models that enhance Greenhouse products like 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.</p> <h2><strong>Who will love this job</strong></h2> <ul> <li><strong>A deep learning practitioner</strong> – you are eager to unlock the potential of deep learning for various applications</li> <li><strong>A generalist</strong> – 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. You have experience working on whole applications mainly in Python but welcome the opportunity to use Ruby or Typescript as needed</li> <li><strong>A collaborator</strong> – 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</li> <li><strong>An entrepreneur</strong> – someone whose values align with our vision on how A.I. can assist in the hiring process</li> </ul> <h2><strong>What you’ll do</strong></h2> <ul> <li>Own well-scoped ML components or models: You will take ownership of specific components, executing on defined problems with guidance</li> <li>Train and deploy models using established patterns, and ship models to production following existing tooling and standards</li> <li>Monitor and debug models with help from senior engineers, and work to improve model performance incrementally</li> <li>Implement AI governance, privacy, and security requirements as defined</li> <li>Collaborate within the team and with partner functions, while communicating progress, risks, and blockers clearly</li> </ul> <h2><strong>You should have</strong></h2> <ul> <li><span style="font-weight: 400;">Degree or recent experience relating to Machine Learning</span></li> <li><span style="font-weight: 400;">Familiarity with implementing safe, ethical, and compliant ML systems (familiarity with ISO 42001/NIST AI RMF and the associated common controls)</span></li> <li><span style="font-weight: 400;">Experience deploying, monitoring, and improving ML models at a technology company</span></li> <li><span style="font-weight: 400;">A strong grasp of Python</span></li> <li><span style="font-weight: 400;">Experience training and experimenting with deep learning models as well as serving them in production</span></li> <li><span style="font-weight: 400;">Experience with transformers and other HuggingFace libraries</span></li> <li><span style="font-weight: 400;">Experience building and consuming APIs</span></li> <li><span style="font-weight: 400;">An ability to build consensus while creating space for others</span></li> <li><span style="font-weight: 400;">Excellent prioritization and time management skills</span></li> <li><span style="font-weight: 400;">Experience w ... (truncated, view full listing at source)