Senior ML Ops Engineer, Greenhouse Software
$153-215k
+ Stock option awards, bonuses and merit increases
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
$153-215k
+ Stock option awards, bonuses and merit increases
More information about location
501-1000 employees
Company mission
To help every company become great at hiring.
Role
Who you are
- 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
What the job involves
- 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
- 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
- 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
Application process
- The anticipated closing date for this role is December 12th, 2025
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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