Machine Learning Engineer
Listed on 2026-02-18
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Software Development
Software Engineer, Machine Learning/ ML Engineer, Cloud Engineer - Software
Position
Purpose:
The Staff Software Engineer is responsible for leading a team of engineers building and designing a product that our customers and associates love. As a Staff Software Engineer, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production applications. In this role, you will also provide technical leadership on machine learning systems, including model development, production deployment, monitoring, and lifecycle management of ML solutions operating addition, Staff Software Engineers will assist in product and tool selection, configuration, security, resilience, performance tuning and production monitoring.
Staff Software Engineers contribute to foundational code elements that can be reused as well as architectural diagrams and other product-related documentation. You will help define best practices for building reliable, explainable, and maintainable ML systems that integrate seamlessly with broader software platforms.
As a Staff Software Engineer, you will be a core player on the product team and are expected to build and grow the skillsets of the more junior Engineers.
Key Responsibilities:45% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions, Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable;
Configures commercial off the shelf solutions to align with evolving business needs;
Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively15% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice);
Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations;
Attends conferences and learns how to apply new innovations and technologies where appropriate20% Strategy and Planning - Researches and analyzes business trends and behavioral data to identify opportunities for improvement and new initiatives;
Leads the evaluation development and recommendation of specific technology products and platforms to provide cost-effective solutions that meet business and technology requirements;
Researches and designs best fit infrastructure, network, database, security, and machine learning architectures for products;
Proactively creates and maintains tools for monitoring and support;
Participates in project planning and management across multiple efforts;
Develops formal training courses20% Support and Enablement - Fields questions from other product teams or support teams;
Monitors tools and participates in conversations to encourage collaboration across product teams;
Provides application support for software running in production;
Proactively monitors production Service Level Objectives for products;
Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality
This Position typically reports to Software Engineer Manager or Sr Software Engineer Manager
This Position has 0 Direct Reports
- Typically requires overnight travel 5% to 20% of the time.
- Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
- Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Must be eighteen years of age or older.
Must be legally permitted to work in the United States.
3 - 6 years of relevant work experience
Strong experience designing, training, evaluating, and deploying machine learning models in production environments, including batch and real-time…
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