Machine Learning Engineer

Ontario - Canada

Monthly Salary: $ 120000 - 180000

Posted on: 10 hours ago

Vacancies: 1 Vacancy

Job Summary

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 theyre the foundation of our success. At Greenhouse youll 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 Machine Learning Engineer to join our team!

In this role youll 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. Youll 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. 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

What youll do

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

You should have

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 arent always in alignment with a given role - but those are qualities we value at Greenhouse. If you dont meet 100% of the qualifications outlined above we still strongly encourage you to apply

Applicants must be legally eligible to work in Canada as of the start date chosen by the Company. We are unable to support sponsorship at this time.

For purposes of processing or administering your employment relationship personal information that you provide to the Company may be transferred to and accessed by an affiliate in the United States or elsewhere or to agents and contractors (such as payroll companies insurance companies information technology consultants etc.) that provide services to the Company.

The national pay range for this role is $120000 - $180000 CAD. Individual compensation will be commensurate with the candidates experience and qualifications. Certain roles may be eligible for additional compensation including stock option awards bonuses and merit increases. Additionally certain roles have the opportunity to receive sales commissions that are based on the terms of the sales commission plan applicable to the role.

The anticipated closing date for this role is February 20th 2026.

Who we are

At Greenhouse we live by our mission through using our own product to help us hire the right person for the job every time. We are a remote-first company and have shared office spaces in New York City and Ireland and optional co-working spaces that give us flexibility to do our best work anywhere. We take an active role in our growth through a performance review program thats committed to providing actionable feedback and a bonus structure that rewards great performance. We believe that bringing together a variety of perspectives makes us a stronger company and we nurture leaders who create an inclusive culture and invest into employee resource groups that celebrate our differences and life experiences. Were proud to have built an award-winning culture thats been recognized as Fortunes Best Places to Work and Inc.s Best Workplaces multiple years in a row.

Greenhouse Software is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex (including pregnancy sexual orientation or gender identity) national origin age disability genetic information veteran status or any other characteristic protected by applicable local laws regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process reach out to

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