Autonomous Systems Machine Learning Engineer

Description Do you have a passion for creating machine-learning-based tools that enable the safe development and deployment of autonomous systems? Do you want to make an impact on the future of our nation's defense capabilities?

Do you thrive in dynamic and collaborative environments?

If so, we are looking for someone like you to join our team at APL! We are seeking a talented and motivated Machine Learning Engineer to join the Ocean Systems and Engineering Group.

In this role, you will play a crucial part in the development of innovative testing solutions that incorporate sophisticated ML capabilities.

You will work closely with multidisciplinary teams in an agile software and rapid prototyping environment to build the next generation of software and machine-learning-based test tools for autonomous platforms. These test tools will help assure the safety and performance of the novel capabilities deployed in operational environments by our service members.

As a Machine Learning Engineer you will..... Leverage and advance machine-learning approaches to evaluate the performance of autonomous systems.

Apply the fields of data science and statistics to verify autonomous decision processes. Develop and implement full-lifecycle testing software for assuring autonomous behavior.

This includes interface and standards definition, agile software development, simulation-based tool development, field-testing, full-scope documentation, and technical reviews.

Design, develop and configure simulation environments used to test and evaluate autonomy algorithms in autonomous systems. Plan, complete, and analyze field tests and experiments.

Qualifications You meet our minimum requirements for the job if you... Possess a Bachelor's degree in Software Engineering, Computer Science, or a related technical field, such as Robotics, Physics, or Mathematics. Have 5+ years of relevant software development expertise. Have 3+ years of experience applying and developing machine-learning algorithms, particularly in the areas of imitation and reinforcement learning.

Have demonstrated full-lifecycle software development experience in either C++, Python, or Java. Are passionate about software design, software engineering, and developing groundbreaking tools for autonomous platforms. Possess strong organization and planning skills, with record of accomplishment in a team environment.

Have excellent interpersonal skills and outstanding written and oral communications skills. Are able to work within the government infrastructure and address leadership roles in a diverse environment of contractors, government, and user staff. Are able to obtain an interim Secret level security clearance by you start date and can ultimately obtain a final Secret level clearance.

If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to Secret classified information. Eligibility requirements include U.S citizenship. You'll go above and beyond our minimum requirements if you... Have a Master of Science in Machine Learning, Artificial Intelligence, Computer Science, or a related technical field.

Have significant experience in developing machine-learning-based test and evaluation software. Have significant experience developing and integrating autonomous maritime systems. Hold an active Secret security clearance.

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 www.jhuapl.edu/careers. #LI-AG1 About Us 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 Accommodations@jhuapl.edu.

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.Do you have a passion for creating machine-learning-based tools that enable the safe development and deployment of autonomous systems? Do you want to make an impact on the future of our nation's defense capabilities?

Do you thrive in dynamic and collaborative environments?

If so, we are looking for someone like you to join our team at APL! We are seeking a talented and motivated Machine Learning Engineer to join the Ocean Systems and Engineering Group.

In this role, you will play a crucial part in the development of innovative testing solutions that incorporate sophisticated ML capabilities.

You will work closely with multidisciplinary teams in an agile software and rapid prototyping environment to build the next generation of software and machine-learning-based test tools for autonomous platforms. These test tools will help assure the safety and performance of the novel capabilities deployed in operational environments by our service members.

As a Machine Learning Engineer you will..... Leverage and advance machine-learning approaches to evaluate the performance of autonomous systems.

Apply the fields of data science and statistics to verify autonomous decision processes. Develop and implement full-lifecycle testing software for assuring autonomous behavior.

This includes interface and standards definition, agile software development, simulation-based tool development, field-testing, full-scope documentation, and technical reviews.

Design, develop and configure simulation environments used to test and evaluate autonomy algorithms in autonomous systems. Plan, complete, and analyze field tests and experiments.