Machine Learning Engineer, Greenhouse Software
$141-176.8k
More information about location
Applicant tracking software and hiring platform
Be an early applicant
Applicant tracking software and hiring platform
501-1000 employees
Be an early applicant
$141-176.8k
More information about location
501-1000 employees
Company mission
To help every company become great at hiring.
Role
Who you are
- 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. You have experience working on whole applications mainly in Python but welcome the opportunity to use Ruby or Typescript as needed
- 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
- Degree or recent experience relating to Machine Learning
- Familiarity with implementing safe, ethical, and compliant ML systems (familiarity with ISO 42001/NIST AI RMF and the associated common controls)
- Experience deploying, monitoring, and improving ML models at a technology company
- A strong grasp of Python
- Experience training and experimenting with deep learning models as well as serving them in production
- Experience with transformers and other HuggingFace libraries
- Experience building and consuming APIs
- An ability to build consensus while creating space for others
- Excellent prioritization and time management skills
- Experience with NLP and large language models, a plus
- Experience with machine learning models which are not deep learning (e.g. decision trees), a plus
- Experience using Docker and AWS (SageMaker endpoints, SageMaker notebooks, S3, IAM), a plus
- Your own unique talents! Your background has given you a unique perspective and set of transferable skills that aren't always in alignment with a given role - but those are qualities we value at Greenhouse. If you don't meet 100% of the qualifications outlined above, we still strongly encourage you to apply
What the job involves
- Greenhouse is looking for a 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 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
- Own well-scoped ML components or models: You will take ownership of specific components, executing on defined problems with guidance
- Train and deploy models using established patterns, and ship models to production following existing tooling and standards
- Monitor and debug models with help from senior engineers, and work to improve model performance incrementally
- Implement AI governance, privacy, and security requirements as defined
- Collaborate within the team and with partner functions, while communicating progress, risks, and blockers clearly
Application process
- The anticipated closing date for this role is February 20th, 2026
Our take
Quality candidates are in demand and have options. It's not easy for companies to make the perfect hire. They face recruitment challenges. Firstly, they have to find the right people to interview. And secondly, they have to demonstrate that they have the right job for them.
Greenhouse is a hiring software company that helps companies optimize their recruitment and become great at it. With over 7,500 customers, the company supports some of the world's most successful companies such as Buzzfeed, Booking.com, HubSpot, and J.D. Power.
In January 2021, TPG Growth acquired a majority stake in Greenhouse with an investment of approximately $500M to support their commitment to improve diversity and reduce inequality in the hiring process.
Since the acquisition, Greenhouse has experienced significant growth, increasing revenues from $86.4M in 2021 to $266.3M in 2024. Its fair to say, the company is seeing great success and it doesn't seem to be slowing down anytime soon.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
1% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Jul 2018
$50m
SERIES D
Aug 2015
$35m
SERIES C
Total funding: $111.5m
Company HQ
Midtown Manhattan, New York, NY
Leadership
Daniel Chait
(CEO)With a background in Software Engineering, they co-founded Business Velocity and Lab49, where they worked for almost 10 years. In January 2012, they co-founded Greenhouse Software.
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