Senior Machine Learning Engineer, Greenhouse Software
$154-192.8k
More information about location
Applicant tracking software and hiring platform
Open for applications
Applicant tracking software and hiring platform
501-1000 employees
Open for applications
$154-192.8k
More information about location
501-1000 employees
Company mission
To help every company become great at hiring.
Role
Who you are
- Degree or recent experience relating to Machine Learning
- Experience with NLP and large language models
- Experience 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
- Strong Python experience
- Experience training and experimenting with deep learning models as well as serving them in production
- Experience with transformers and other HuggingFace librariesExperience designing and consuming APIs
- An ability to build consensus while creating space for othersExcellent prioritization and time management skills
- 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
- 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
- Your own unique talents! If you don’t meet 100% of the qualifications outlined above, tell us why you’d be a great fit for this role in your cover letter
What the job involves
- 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
- 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
- Deploy software applications, including deep learning models, in production, using AWS and Greenhouse’s internal tools
- Partner with other members of the R&D team to uplevel their comfort and familiarity with shipping Machine Learning features
- Help set vision and strategy for AI within our product suite
- Develop applications that are compliant with our AI policies that prioritize privacy, security, ethical concerns, and best practices while handling data
- Contribute to and build all phases of the AI system lifecycle from ideation, model development, testing, evaluation, improvements and monitoring
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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