ML Engineer for Defense AI & Advanced Systems

Johns Hopkins Applied Physics Lab; Laurel (MD); On-site; USD 100,000 - 245,000; Full time

Benefits offered by this job

Generous benefits

Education assistance program

Retirement contributions

Healthy work/life balance

Job summary

A leading research laboratory in Maryland seeks a Machine Learning Engineer to design and implement advanced algorithms for defense applications. This position requires collaboration with a multidisciplinary team and a strong background in machine learning techniques. Candidates should possess a Bachelor's degree and relevant experience in applying ML algorithms. The role offers competitive pay ranging from $100,000 to $245,000 annually, with generous benefits.

Qualifications

• 2+ years of experience in machine learning and data science fields.
• Hands-on experience with PyTorch or TensorFlow for ML algorithms.
• Knowledge in classification, clustering, deep learning, and computer vision.

Responsibilities

• Design and implement machine learning algorithms for defense.
• Develop software pipelines for data integration.
• Collaborate with scientists/engineers to solve problems.

Skills

Machine learning experience

Effective communication skills

Version control software

Deep learning techniques

Education

Bachelor’s degree in a relevant field

MS in a relevant field

Tools

PyTorch

TensorFlow

Git

AFSIM

Blender

Unity

Unreal

Job description

A leading research laboratory in Maryland seeks a Machine Learning Engineer to design and implement advanced algorithms for defense applications. This position requires collaboration with a multidisciplinary team and a strong background in machine learning techniques. Candidates should possess a Bachelor's degree and relevant experience in applying ML algorithms. The role offers competitive pay ranging from $100,000 to $245,000 annually, with generous benefits.