Our mission [https://www.greenhouse.com/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 ML Ops Engineer to join our team!
As a senior member of our Applied Machine Learning team, you'll own the critical
infrastructure and processes that bring our machine learning models to life. You
will be responsible for the full model lifecycle, from working with prototypes
of ML and LLM-based solutions to transforming them into reliable,
production-ready systems. You'll create, manage, and improve our continuous
integration and delivery pipelines that enable rapid iteration and deployment.
Learn more about our engineering culture here
[https://engineering.greenhouse.io]!
WHO WILL LOVE THIS JOB
- An ML Evangelist– You stay in the know of ML industry trends and enable your
team’s ability to work with ML tools.
- An Architect – You excel at creating, managing, and improving robust
continuous integration and delivery pipelines to support rapid deployment of
ML models.
- A Reliability Advocate – You are passionate about system uptime, implementing
observability practices like monitoring, logging, and alerting, and ensuring
high data quality and performance in production.
- A Collaborator – You excel at working closely with others across an org to
align on requirements and deliver solutions.
WHAT YOU'LL DO
- Operationalize ML and LLM-based workloads, gather stakeholder feedback, and
drive them into production-ready systems
- Create, manage, and improve continuous integration and delivery pipelines to
support rapid iteration and deployment of ML models and services
- Implement observability practices for ML systems, including monitoring,
logging, and alerting
- Maintain and improve the infrastructure for ML/LLM evaluation sets, including
versioning, automated validation pipelines, and continuous quality checks
across the model lifecycle
- Ensure high data quality and monitor performance of ML workloads in
production
- Work closely with ML engineers, data scientists, and cross-functional teams
to build impactful solutions
- Participate in an on-call rotation to ensure system uptime and reliability
- Additional projects and responsibilities as business needs require
YOU SHOULD HAVE
- Proven experience in an MLOps, DevOps, or a related software engineering
field
- Experience implementing safe, ethical, and compliant ML systems (familiarity
with ISO 42001/NIST AI RMF and the associated common controls)
- Strong cloud infrastructure experience with AWS
- A deep understanding of Kubernetes
- Expertise with IaC (Infrastructure as Code) & GitOps Tools like Terraform and
Argo CD
- Experience developing and augmenting CI/CD Pipelines
- A strong understanding of the state of the art in machine learning,
especially LLMs
- Familiarity with ML frameworks such as PyTorch, MLFlow, vLLM, Transformers,
and Torch
- Practical experience managing data quality and performance in production ML
environments
- Experience designing data architectures optimized for AI/ML, such as with
Opensearch (vector databases)
- Familiarity with tools and platforms like Bedrock/Sagemaker, MetaFlow,
Databricks, Vertex AI, Skypilot, Kubeflow, Loki, or Grafana is a plus
- 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.
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 $143,000 - $214,000 CAD. Individual
compensation will be commensurate with the candidate's 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 December 12th, 2025.
LI-WR1
This hiring process utilizes artificial intelligence tools to assist in
candidate screening and assessment. Our AI tools are designed to complement, not
replace, human decision-making.
WHO WE ARE
At Greenhouse, we live by our mission through using our own product
[https://www.greenhouse.com/interviewing-at-greenhouse] 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 that’s 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. We’re proud to have built an award-winning culture
[https://www.greenhouse.com/awards] that’s been recognized as Fortune’s 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 accommodations@greenhouse.io.
Emails about job opportunities at Greenhouse Software are only offered by
employees with @greenhouse.io email addresses. See this page
[https://www.greenhouse.com/candidate-phishing-scams] on our website if you
suspect a phishing scam.
