Machine Learning Analyst

Description

Do you have demonstrated machine learning experience and are looking to solve a wide variety of complex problems in this

rapidly growing and evolving field?

Do you have a strong desire to collaborate and work within a team of highly skilled researchers?

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

We are seeking a highly motivated researcher who will contribute to all phases of the machine learning algorithm development process. You will be joining a team of engineers and scientists who are at the forefront of APL's mission to provide innovative solutions to critical challenges in the area of missile defense.

As a Machine Learning Analyst...

• You will research, implement and analyze prototype algorithms for various machine learning tasks, quantify and document the performance capabilities and limitations of algorithms for specific tasks, as well as provide metrics of robustness and confidence in specific approaches.
• You will interact with various data types, formats, and structures in a clear and appropriate manner for algorithm training and testing and perform any data cleaning, normalization, or manipulation as needed.
• You will create effective visualizations and comprehensive documentation to explain complex topics to a variety of audiences.

Qualifications

You meet the minimum requirements for the job if you…

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

About Us

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 of perspectives 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  http : / / www.jhuapl.edu / careers .

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 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 .

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.

Minimum Rate

$85,000 Annually

Maximum Rate

$180,000 Annually