Applied Machine Learning Engineer

Information Systems and Cyber Division (ISCD)staff couple the latest in information system technologies such as elastic compute clouds containerization microservices real-time operating systems and visualization frameworks with expertise in cyber security software architecture software engineeringdata science Artificial Intelligenceprocess improvement and software development to deliver responsive resilient high-performance software intensive systems to ourIntelligence Community DoDand civilian customers.

The Data Science and Artificial Intelligence Department (DSAID)seeksa creative and enthusiastic Machine Learning Engineerto join a diverse team of engineers data scientists and programmers with a passion for researching prototyping understanding and building AI and data enabled tools across the space are a growing innovativeandcollaborative department that makes meaningful contributions toNationalSecuritySpace(AF NRO etc.)andCivil andCommercial customers(NASA MDA DHSetc.).

This position is for theData Science Applications sectionwhere wefocus on solving customer problems with digital applications that involvedata scienceand machine learning techniques.DSA is looking for machine learning engineer with reinforcement learning and graph theory experienceto support customers in the missile warning/missile tracking domain.

This is afull-timeposition based inColorado Springs Coloradowhichrequires100% onsite work.

WhatYoullBe Doing

DSAIDs customers range from NationalSecuritySpace(AF NRO etc.) to civil (NASA NOAA etc.) andcommercial (commercial space autonomous vehicles etc.)

• DSAID applies data science and AI knowledge across the space enterprise to Aerospace enterprise capabilities and towards corporate workforce development and strategic focus areas

• Machine Learning Engineers learn and develop their skills by working on teams spanning disciplines experience levels and organizational boundaries.

• Primary functions include:

• Evaluation of technologies for use in scalable and resilient mission-critical applications in a production environment

• Coordinated development and execution ofAI/MLexperiments

• Coordinated development of proof-of-concept infrastructure configuration and software prototypes

• Collaboration with small innovative teams to deliver features and products

• Written and verbal presentation of results to team members and stakeholders

• Reinforcing an environment of learning and progress with team members and others

• Focus on accountability and innovation in leadership competency development

• Dutiesresponsibilitiesand activities may change or new ones may be assigned as needed

• Machine learning engineers mustmaintaina commitment to ongoing learningin order tostay current with government missions and the ever-changing climate of data science and AI. This requires both ongoing education in relevant domains such as physics math and/or computer science as well as an understanding of the existing systems and futureobjectivesof government missions.

What You Need to be Successful

MinimumRequirements for the Machine Learning Engineer- Senior Member of Technical Staff

• Bachelors degree in Computer Science Computer Information Systems Electrical or Computer Engineering orrelated technicalfield(s)

• 5 or more years of experience in Data Scientist or Machine Learning Engineer or AI/ML Researcher role in any domain

• Strongproficiencyin at least two different programming languages (e.g.Python R C/C)and MLframeworksand familiarity with common libraries used for Data Science and Machine Learning such as pandaspytorchor JAX.

• Experience with on and off-policy reinforcement learning algorithms such as Deep Q Learning A3C and PPO.

• Working knowledge of fundamental graph theory and graph neural networks.

• Hands on experience with containerorchestrationtooling(Docker Kubernetes etc.)

• Experience with and understanding of software engineering concepts with an AI focus (MLOps/DevOps ML Development Lifecycle data structures etc.)

• Working knowledge of Unix/Linux operating systems

• This position requires ability to obtain andmaintaina security clearance which is issued by the US government. U.S citizenship isto obtain a security clearance.

In addition to the above theminimumrequirements for theMachine Learning Engineer- EngineeringSpecialist:

• 8 or more years of experience in Data Scientist or Machine Learning Engineer or AI/ML Researcher role in any domain

• Demonstrated experience architecting designing or implementing enterprise-scale AI/ML solutions with multiple tenants and cloud integration

• Experienceleading technical teamsand in mentoring junior staff.

• Familiarity with data pipelining and streaming technologies (Apache Kafka temporal etc.)

How You Can Stand Out

It would be impressive if you have one or more of these:

• Advanced degreein Computer Science Computer Information Systems Electrical or Computer Engineering or related field(s)

• Publications in reinforcement learning graph theory or a relevant AI/ML domain.

• Experience in designing or managing enterprise-level ML platforms and production-grade ML models at scale

• Familiarity with High Performance Computing hardwarefor ML(GPUs TPUs) CUDA programming and advanced ML optimization techniques and architectures

• Demonstrated ability to exercise judgement and critical thinking in a scientific discipline

• Experience implementing and guiding teams toward software development best practices

• Experience in SQL NoSQLCypherand other big data querying languages

• Demonstrated contributions to open-source software repositories (githubkaggle etc.)

• Experience deploying ML models on cloud platforms (AWS Azure etc.)

• Domainexpertiserelevant to one or more customer organization mission areas (USSF NRO etc.)

• Active security clearance