AI Platform Engineer - Johns Hopkins Applied Physics Laboratory (APL) : Job Details

Do you thrive in a fast-paced, dynamic collaborative team environment with a passion for artificial intelligence (AI) and machine learning (ML) systems?

Are you ready to use and grow your skills to solve ever-evolving challenges?

If so, we're looking for someone like you to join our team at APL.

We are seeking an AI Platform Engineer to provide expert knowledge in the realm of AI and ML systems, enabling scientiststs and engineers in pioneering research endeavors. This person will play a key role in ensuring the smooth operation, optimization and performance of our AI-driven products and services for advanced research.

As an AI Platform Engineer, you will:

• Lead the technical development of an emerging enterprise AI inference service.
• Collaborate with researchers and data scientists to deploy machine learning models for enterprise use.
• Optimize AI models, workflows and system performance by conducting analysis and benchmarks to address bottlenecks.
• Operate and enhance software and infrastructure for scalable and reliable AI inference.
• Stay up-to-date with latest advancements in AI inference technologies and best practices.

You meet our minimum qualifications for the job if you...

• Hold a Bachelor of Science degree or equivalent years of related professional work experience.
• Have 3+ years scripting and programming skills with Python.
• Have 1+ experience with AI/ML frameworks and libraries such as Tensorflow, PyTorch or MXNet.
• Have 1+ year experience using container-based orchestration (e.g. Kubernetes) and run-time environments (e.g. Docker).
• Solid understanding of inferencing with foundation models including LLMs.
• Demonstrate ability to investigate and resolve moderately complex problems using current job knowledge, research data and external resources.
• Able to work effectively with leadership to prioritize competing tasks.
• Demonstrate solid communication and listening skills within a collaborative team environment.
• Ambitious to learn, effectively plan and organize work, seek and share knowledge on a continuous basis.
• Are able to obtain Secret level security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.You'll go above and beyond our minimum requirements if you...

You'll go above and beyond our minimum requirements if you have...

• Experience securing Linux/UNIX and Cloud native applications.
• Experience with AI/ML model deployment and management platform (e.g:- MLflow, Kubeflow).
• Have experience with nVidia inferencing technologies including accelerator hardware and Triton inference platform.
• Experience with data management and processing technologies (Apache SPARK, Hadoop).
• Familiarity with cloud computing platform (AWS, Azure or GCP).
• Knowledge of MLOps, Agile and DevOps processes.

Special Working Conditions:

Occasional weekend and other after-hours work may be required to handle and/or complete critical work to meet APL's business needs.

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Why work at APL?The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at

APL is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law.APL is committed to promoting an innovative environment that embraces diversity, encourages creativity, and supports inclusion of new ideas. In doing so, we are committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact [email protected]. Only by ensuring that everyone's voice is heard are we empowered to be bold, do great things, and make the world a better place.

The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.