Defense Digital Service - Machine Learning Engineer

DDS – Engineering /
Digital Service Expert /
Digital Service Expert - Machine Learning Engineer 

Come do impactful work with a brilliant, motivated team.
About the Chief Digital and Artificial Intelligence Office

The Chief Digital and Artificial Intelligence Office (CDAO) is a Principal Staff Assistant (PSA) responsible for the acceleration of the adoption of data, analytics, and Artificial Intelligence (AI) to generate decision advantage across the Department of Defense (DoD). The Joint Artificial Intelligence Center (JAIC), Defense Digital Services (DDS), Chief Data Office (CDO), and forward-leaning programs of record including Advana have officially joined together to form one organization – the CDAO! 

This position is being recruited as a GS-14 or GS-15, Machine Learning Engineer in the Excepted service.  This position will serve under the Directorate for Digital Services formally known as the Defense Digital Services.  The work that you do here will directly contribute to our national security, improve the lives of those who serve, and make an impact that spans the globe.  The impact you can make here is truly phenomenal.  If that excites you and you have the skills, you should apply!  We are solving a diverse set of problems, and we need a diverse team to do it.  The Directorate for Digital Services DDS transforms how the DoD designs, builds, buys, and deploys technology to save lives and stay ahead of our adversaries. This organization touches on a wide range of issues — from cybersecurity to climate; COVID response to data-wrangling. These complex challenges are tackled head-on by recruiting exceptional tech talent from industry and government to our talented team for a two-year term (with the option to renew for a second term).  

This announcement will close on June 23rd, 2023.

Roles and Responsibilities

    • Designing, developing and maintaining machine learning products that meet customer specifications.
    • Design, build, and deploy software in various cloud environments.
    • Consulting with managers and stakeholders to determine machine learning objectives.
    • Researching and experimenting with new, suitable machine learning algorithms, architectures, and tools.
    • Developing machine learning algorithms to analyze large data sets to enable  prescriptive and predictive inference.
    • Integrate disparate datasets to enable machine learning models
    • Utilize SOTA open source machine learning frameworks and libraries.
    • Testing, analyzing, and interpreting model results to determine the value of models to users over baseline performance.
    • Keeping documentation of machine learning best practices.

Technical Experience

    • 3+ years of experience working as a Machine Learning Engineer.
    • Proficiency in Python.
    • Experience using SQL/NoSQL databases and data stores for specific use cases.
    • Skilled in using big data frameworks such as Spark & Snowflake
    • Experience working with machine learning frameworks like Pytorch & Tensorflow
    • Extensive and deep knowledge of Machine Learning practices, libraries, data structures, use cases, and software architecture.
    • A passion for statistics and mathematics, with good communication skills to be able to explain complex ideas and concepts into easy-to-understand conversations.
    • Outstanding problem-solving skills with an analytical approach to work.
    • Experience leading data product deployments
    • Extensive experience working with services for at least one cloud provider
    • Experience with the MLOps lifecycle

Key Requirements

    • U.S. Citizenship.
    • Must be able to obtain and maintain a Top Secret/SCI clearance.
    • Candidate is encouraged to provide e-portfolio, project samples, Github, etc. to their submission package