Veeam®, the #1 global market leader in data protection and ransomware recovery, is on a mission to empower every organization to not just bounce back from a data outage or loss but bounce forward.
With Veeam, organizations achieve radical resilience through data security, data recovery, and data freedom for their hybrid cloud.
The Veeam Data Platform delivers a single solution for cloud, virtual, physical, SaaS, and Kubernetes environments that gives IT and security leaders peace of mind that their apps
and data are protected and always available.
Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 450,000 customers worldwide, including 74% of the Global 2000, who trust Veeam to keep their businesses running.
As a Machine Learning Engineer, you will be at the forefront of shaping our data and intelligence ecosystem. Working closely with data engineers, software developers, and product stakeholders, you will design and implement end-to-end ML pipelines, build predictive and anomaly detection models, and operationalize advanced analytics solutions in a secure, scalable, and modern cloud environment.
Your tasks will include:
- Design, build, and refine machine learning models for diverse use cases, including ransomware detection, backup data classification, and conversational AI
- Implement scalable and reproducible ML pipelines on Azure, using managed services such as Azure Fabric, Azure Machine Learning, Azure Data Lake Service, Azure Data Factory, Databricks, and/or Snowflake
- Integrate models into production services and ensure robust monitoring, logging, and automated CI/CD (MLOps) practices for continuous improvement and rapid iteration
- Collaborate with data engineers to define data architectures and managed services that facilitate efficient model training and inference
- Continuously optimize ML models through feature selection, engineering, dimensionality reduction, and benchmarking to enhance accuracy, latency, and scalability
- Implement model quality checks, bias detection, and model explainability frameworks to maintain ethical and transparent AI standards
- Work closely with product managers, UX designers, and stakeholders to understand business requirements and translate them into technical ML solutions
- Educate and mentor team members, data scientists, and engineers on ML best practices, frameworks, and toolsets
What we expect from you:
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Data Science, Machine Learning, or a related field
- Proven experience building and deploying ML models in production using Python and popular ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
- Hands-on experience with modern ML tools and services, including Azure Fabric, Azure ML Studio, Azure Data Lake, Databricks, Snowflake, and similar services
- Strong knowledge of MLOps principles, data governance best-practices, CI/CD pipelines, containerization (Docker), orchestration (Kubernetes), and networking
- Familiarity with anomaly detection, time series analysis, and/or NLP
- Strong statistical knowledge, including hypothesis testing, regression analysis, and model evaluation metrics
- Ability to deconstruct a broad problem or ask into smaller well-defined components. Identify and flesh out uncertainty where needed
- Excellent communication and interpersonal skills, with the ability to explain complex ML concepts to both technical and non-technical stakeholders
- Self-driven, detail-oriented, and excited about working in a dynamic, fast-paced, startup-like environment within a larger organization
What we offer:
- Medical, dental, and vision insurance. Employee premiums for health insurance are 100% company paid
- Unlimited Paid Time Off
- Life and Disability Insurance
- Veeam Care Days – additional 24 hours for your volunteering activities
- Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (Percipio, Athena, O’Reilly) and mentoring through our MentorLab program
Please Note: If the applicant is permanently located outside of the United States Veeam reserves the right to decline the application for the position. Remote work is only possible for employees located in the United States.
#LI-KC1 #LI-Remote
The salary range posted is On Target Earnings (OTE), which is inclusive of base and variable pay. When making an offer of employment, Veeam will take into consideration the candidate’s expectations, experience, education, scope of responsibility for the role, and the current market demands.
United States of America Pay Range
$168,100—$240,100 USD
Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.
Please note that any personal data collected from you during the recruitment process will be processed in accordance with our Recruiting Privacy Notice.
The Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to us, will be processed by us in connection with our recruitment processes.
By applying for this position, you consent to the processing of your personal data in accordance with our Recruiting Privacy Notice.
Top Skills
What We Do
Veeam provides a single platform for modernizing backup, accelerating hybrid cloud and securing data. Veeam has 400,000+ customers worldwide, including 82% of the Fortune 500 and 69% of the Global 2,000. Veeam’s 100% channel ecosystem includes global partners, as well as HPE, NetApp, Cisco and Lenovo as exclusive resellers, and boasts more than 35K transacting partners worldwide.
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