Machine Learning Engineer

The Aerospace Corporation is the trusted partner to the nations space programs solving the hardest problems and providing unmatched technical expertise. As the operator of a federally funded research and development center (FFRDC) we are broadly engaged across all aspects of space delivering innovative solutions that span satellite launch ground and cyber systems for defense civil and commercial customers. When you join our team youll be part of a special collection of problem solvers thought leaders and innovators. Join us and take your place in space.

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 engineering data science Artificial Intelligence process improvement and software development to deliver responsive resilient high-performance software intensive systems to our Intelligence Community DoD and civilian customers.

The Data Science and Artificial Intelligence Department (DSAID) seeks a 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 positions specifically is for the Machine Learning Engineering section where we focus on translating cutting-edge AI research into robust scalable and production-ready machine learning solutions. We bridge the gap between theoretical ML solutions and real-world impact by optimizing and scaling ML models designing and building robust ML software architectures providing expertise in harnessing the latest advancements in compute hardware and implementing MLOps and Trusted AI best practices.

Machine Learning Engineers contribute to projects involving one or more of the following disciplines: Data Science Applied Machine Learning Deep Learning Machine Learning Architecture Design Machine Learning Operations (MLOps) Natural Language Processing Artificial Intelligence and Computer Vision

Work Model

This is a fulltime position based in Chantilly Va offering a hybrid work model that combines 3 regular onsite workdays and remote flexibility as the business needs allow.

What Youll Be 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 of experiments
  • 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
• Duties responsibilities and activities may change or new ones may be assigned as needed
• Machine learning engineers must maintain a commitment to ongoing learning in order to stay 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 future objectives of government missions.

What You Need to be Successful

Minimum Requirements for the Machine Learning Engineer- Senior Member of Technical Staff

• Bachelors degree STEM or in Computer Science Computer Information Systems Electrical or Computer Engineering or related technical field(s)
• 5 or more years of experience in Data Scientist or Machine Learning Engineer or AI/ML Researcher role in any domain
• Experience developing and deploying ML applications/solutions
• Experience with at least two MLOPs and Data Engineering tools (e.g. MLFlow Kubeflow Neptune Airflow DVC)
• Software development skills in at least two different programming languages (e.g. Python R C/C) including familiarity with machine learning and deep learning libraries in Python
• Experience with container orchestration tooling(Docker Kubernetes etc.)
• Experience with and understanding of software engineering concepts with an AI focus (MLOps/DevOps ML Development Lifecycle data structures etc.)
• Experience with and understanding of machine learning and statistics
• Working knowledge of Unix/Linux operating systems
• This position requires ability to obtain and maintain a security clearance which is issued by the US government. U.S citizenship is required to obtain a security clearance.

In addition to the above the minimum requirements for theMachine Learning Engineer- Engineering Specialist:

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

• 8 or more years of experience in Data Scientist or Machine Learning Engineer or AI/ML Researcher role in any domain
• Experience managing or leading teams on machine learning projects.
• Experience in architecting scalable machine learning platforms and solutions.

How You Can Stand Out

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

• Advanced degree in Computer Science Computer Information Systems Electrical or Computer Engineering or related field(s)
• Experience in designing or managing enterprise-level ML platforms and production-grade ML models at scale
• Familiarity with High Performance Computing hardware (GPUs TPUs)
• 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 NoSQL Cypher and other big data querying languages
• Experience with big data frameworks (Hadoop Spark Flink etc.)
• Experience with ML lifecycle management tools (MLflow Kubeflow etc.)
• Familiarity with data pipelining and streaming technologies (Apache Kafka Apache Nifi etc.)
• Demonstrated contributions to open-source software repositories (github kaggle etc.)
• Experience deploying ML models on cloud platforms (AWS Azure etc.)
• Domain expertise relevant to one or more customer organization mission areas (USSF NRO etc.)
• Active security clearance

Leadership Competencies

Our leadership philosophy is simple: every employee regardless of level and role can demonstrate leadership. At Aerospace our commitment is our people. To cultivate our talent and ensure that we have a strong pipeline of future leaders we want individuals who:

• Operate Strategically
• Lead Change
• Engage with Impact
• Foster Innovation
• Deliver Results

Ways We Reward Our Employees

During your interview process our team will provide details of our industry-leading benefits.

Benefits vary and are applicable based on Job Type. A few highlights include:

• Comprehensive health care and wellness plans
• Paid holidays sick time and vacation
• Standard and alternate work schedules including telework options
• 401(k) Plan Employees receive a total company-paid benefit of 8% 10% or 12% of eligible compensation based on years of service and matching contributions; employees are immediately eligible and vested in the plan upon hire
• Flexible spending accounts
• Variable pay program for exceptional contributions
• Relocation assistance
• Professional growth and development programs to help advance your career
• Education assistance programs
• A work environment built on teamwork flexibility and respect

We are all unique from various backgrounds and all walks of life yet one thing bonds all of us to each otherthe belief that we can make a difference. This core belief empowers us to do our best work at The Aerospace Corporation.

Equal Opportunity Commitment

The Aerospace Corporation is an equalopportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race age sex (including pregnancy childbirth and related medical conditions) sexual orientation gender gender identity or expression colorreligiongeneticinformation marital status ancestry national origin protected veteran status physical disability medical condition mental disability or disability status and any other characteristic protected by state or federal law. If youre an individual with a disability or a disabled veteran who needs assistance using our online job search and application tools or need reasonable accommodation to complete the job application process please contact us by phone at 310.336.5432 or by emailat .You can also reviewKnow Your Rights: Workplace Discrimination is Illegal.