Hands-on, backend-heavy engineering role focused on building a unified, large-scale machine learning platform that drives one-to-one offer, content, and channel decisions. Includes technical leadership, architecture design, and mentoring engineers.
Compensation
The typical pay range for this role is: $144,200.00 - $288,400.00
Responsibilities
Architect and build scalable, production-grade backend services (APIs, microservices, batch and streaming pipelines)
Design data contracts and interfaces between data engineering, model training, and production serving layers
Own the design of versioned, queryable feature stores and point-in-time lookup APIs
Design and optimize large-scale distributed computing workflows
Set and enforce engineering standards across the ML codebase (modular design, dependency management, code review, automated testing, CI/CD)
Lead data science initiatives for Blue Yonder’s Applied Data Science team, driving product adoption, forecasting, planning, and pricing improvements for customers.
Responsibilities
Select, build, and optimize classifiers using advanced machine learning techniques.
Conduct data mining using cutting-edge methods and tools.
Integrate third-party data sources to enhance the company’s datasets when necessary.
Refine data collection procedures to ensure relevant data is available for analytic systems.
Process, cleanse, and verify the integrity of data used for analysis.
Requirements
Bachelor’s or master’s degree in computer science with a focus on Data Science
Lead development of the C-Star open-source modeling toolkit, focusing on Python software and scientific workflows.
Responsibilities
Design, build, test, & maintain C-Star software components alongside a multidisciplinary, scientifically-oriented team.
Quickly generate working software prototypes to address emerging needs and user feedback.
Independently execute on projects, keeping a focus on high-level goals while maintaining flexibility to diagnose and solve problems as they arise.
Assist fellow developers via code reviews, design discussions, and testing.
Support internal and external users via issue review, troubleshooting, tutorials, requirement-gathering, and documentation.
Requirements
Bachelor’s, Master’s, Doctorate degree, or equivalent work experience in a technical field (e.g., oceanography, atmospheric science, physical science, applied mathematics, computer science).
Lead the development, application, and validation of physics-based modeling and simulation tools for national security missions, integrating advanced computational methods and data analysis to produce actionable insights.
Compensation
$124,400 - $155,500 - $186,600 Annual
Responsibilities
Contribute to the development, application, and validation of physics-based modeling and simulation tools by providing technical expertise and support.
Collaborate with multidisciplinary teams to refine methodologies and address technical challenges.
Shape project strategies by identifying and recommending innovative techniques and tools to improve modeling, simulation, and analysis capabilities.
Conduct applied research to develop, advance, and mature innovative technical concepts and solutions that address emerging Department of War priorities and mission challenges.
Communicate findings and recommendations to stakeholders to ensure alignment with mission goals.
Requirements
Bachelor’s degree in a related field
Master’s degree in a related field
PhD in a related field
Nice to have: Experience designing, implementing, integrating and validating computational models
Nice to have: Experience with COTS/GOTS simulation and analysis tools
Build end‑to‑end AI systems and data pipelines for production use.
Responsibilities
Build AI systems end to end, from first prototype to production.
Design the data architecture underneath them: ingestion, processing, storage, and the data models and ontologies that make messy data usable.
Build distributed pipelines that process large volumes of documents, code, logs, and multimodal content for retrieval, agentic workflows, and fine‑tuning.
Turn what works for one customer into patterns and platforms that work across many, without rebuilding each time.
Make systems hold up under real load: throughput, latency, cost, and failure recovery are part of the design from the start.
Salary compensation range and midpoint: $156,800 - $196,000 - $235,200 Annual
Responsibilities
Develop innovative, multidisciplinary approaches for analyzing financial data and trends that may impact the US financial system and markets
Provide expert analysis and/or develop research proposals on issues related to improving financial regulation and banking supervision, adopting new technologies to support distributed ledger or faster payments, or implementing advanced financial analytics
Understand US, mission partner, and adversary capabilities and assess potential threats to U.S. financial stability and security
Conduct analytic and simulation-based analyses using financial data to provide new insights which support policy-level decision making
Provide US Treasury and related sponsors with commercial and market analysis of national interest areas, and methodologies to identify mitigation alternatives
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