Machine Learning Research Scientist - Johns Hopkins Applied Physics Laboratory

Are you interested in performing cutting-edge applied machine learning research?

We seek a research scientist to research, develop, and deploy the latest machine learning (ML) technologies to urgent and challenging problems in defense and healthcare. We are a hardworking and dedicated team of engineers and scientists creating solutions that make AI systems more reliable under ambitious, real-world conditions. We primarily work in computer vision, but are interested in hearing from people with a diverse set of skills, backgrounds, and levels of experience.

• You will research, develop, and deploy the latest machine learning (ML) technologies to solve urgent and challenging problems in defense and healthcare arenas.
• You will collaborate with a skilled team of ML research scientists who design, prototype, brainstorm, and explore ways to make ML models fast, performant, robust, and reliable under various data constraints, such as having limited labels or shifted domains.
• You will write and present ideas, proposals, and research outcomes directly to our sponsors.

• Have a Bachelor 's degree in math, statistics, artificial intelligence, machine learning, computer science, or related field
• Have experience with basic theory of deep neural networks
• Have experience working in deep learning frameworks such as PyTorch, Keras, Darknet, or Tensorflow
• Are comfortable with statistics, linear algebra, calculus, and other mathematical background relevant to theoretical machine learning
• Share our vision to continuously learn and improve together
• Thrive in a dynamic project environment with evolving technologies and problem-sets
• Are able to obtain Interim Secret level security clearance by your start date and can ultimately obtain a 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.

• Have publications at conferences such as NeurIPS, ICML, ICCV/ECCV, ICLR, AAAI, CVPR.
• Have experience with computer vision problems such as image classification/object detection
• Have experience with few-shot learning, domain shift, uncertainty estimation, semi-supervised learning, or self-supervised learning.
• Have a Ph.D. or M.S. in math, statistics, artificial intelligence, machine learning, computer science, or related field
• Have an active DoD security clearance

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

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.

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.

$90,000 Annually

$220,000 Annually