About
Ascendion | Engineering to elevate life
We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:
Build the coolest tech for world’s leading brands
Solve complex problems – and learn new skills
Experience the power of transforming digital engineering for Fortune 500 clients
Master your craft with leading training programs and hands‑on experience
Experience a community of change makers!
Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.
About the Role: Job Title:
ML Engineer
Role Overview We are seeking a highly skilled
Machine Learning Engineer
to support and scale a high-impact
ML Decisioning / Recommender Platform
used for large‑scale digital and email campaign arbitration. The team is expanding its scope to fully own
end‑to‑end ML infrastructure , including software, data, and ML engineering responsibilities.
This role is critical to operating, maintaining, and scaling
production‑grade ML training pipelines
as ownership transitions from a data science team to an engineering‑led model.
Key Responsibilities
Own
operations and maintenance
of end‑to‑end ML model training pipelines
Support and optimize
Kubeflow‑based ML workflows
Manage
weekly model retraining and release cadence
Drive
cluster optimization, automation, and performance improvements
Scale ML infrastructure to support significant growth in data volume and new customers
Support the transition from
batch scoring to real‑time inferencing
Reintroduce batch‑based scoring to support
email arbitration
use cases
Partner with ML engineers, data engineers, and software engineers to ensure platform stability and reliability
Support
CI/CD pipelines , version upgrades, security mandates, and vulnerability remediation
Assist in transitioning ML pipeline ownership from data science teams
Ensure scalability and stability during onboarding of new business and customers
Required Skills & Qualifications Core Skills (Must‑Have)
Strong programming experience in
Python
(Scala preferred but secondary)
Solid experience with
Kubernetes
and containerized ML workloads
Hands‑on experience with
ML pipelines , preferably using
Kubeflow
Experience supporting
production ML systems
end to end
ML & Data Technologies
Hands‑on experience training, retraining, evaluating, and supporting models such as
Random Forests
Strong understanding of
ML infrastructure, CI/CD, automation, and distributed systems
Experience with
cloud‑based ML platforms
and large‑scale data processing
Nice to Have
Exposure to
Transformer models
(aligned with upcoming roadmap)
Experience working on enterprise‑scale ML platforms
Background in regulated or large‑scale environments (preferred, not required)
Location:
McLean, VA / New York
Salary Range:
The salary for this position is between $109,480 – $128,520 annually. Factors which may affect pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.
Benefits The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long‑term disability insurance] [short‑term disability insurance] [personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [12-15 days of paid vacation time] [6-8 weeks of paid parental leave after a year of service] [9 paid holidays and 2 floating holidays per calendar year] [Ascendion Learning Management System] [Tuition Reimbursement Program]
Want to change the world? Let us know.
Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let’s talk!
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Languages
- English
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