Computer Vision Models Engineer Jobs

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Machine Learning Engineer

Johns Hopkins Applied Physics Laboratory (APL) Laurel, MD

Laurel, MD

Today

$100k - $245k/yr Full time Ai Engineer Ai Ml Artificial Intelligence

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Job Description

Machine Learning Engineer role at Johns Hopkins Applied Physics Laboratory (APL) focused on applying modern AI to national defense non-kinetic systems in an onsite setting in Laurel, MD.

Responsibilities

Design, implement, and evaluate advanced machine learning algorithms for planning, perception, coordination, and control challenges
Build software pipelines that connect data streams, simulation environments, and intelligent decision-making components
Apply cutting-edge AI methods including deep reinforcement learning, foundation models, and large language models
Develop and work with neural network architectures such as convolutional, recurrent, and graph neural networks
Apply computer vision techniques in support of system objectives
Use physics-based modeling and simulation tools to support algorithm development and analysis
Collaborate with scientists and engineers within the group and across APL
Engage with sponsors to communicate proposed concepts, solutions, and supporting analysis

Requirements

Bachelor’s degree in Mathematics, Physics, Engineering, Computer Science, or a related field
At least 2+ years of experience in machine learning and data science
At least 1 year of hands-on experience applying or developing ML algorithms using common libraries such as PyTorch or TensorFlow
Strong foundational knowledge in at least two of the following areas: classification, clustering, deep learning, reinforcement learning, computer vision (object detection and visual tracking), multi-agent systems, optimization/control theory
Demonstrated experience working with version control software such as Git
Strong verbal and written communication skills
Ability to obtain an Interim Secret security clearance by the start date and ultimately obtain a Secret clearance; U.S. citizenship required

Technologies

PyTorch, TensorFlow, Git
Deep reinforcement learning
Foundation models, large language models
Convolutional neural networks, recurrent neural networks, graph neural networks
Computer vision
Physics-based modeling and simulation tools

Minimum and Maximum Salary

Minimum: USD 100,000 per year
Maximum: USD 245,000 per year

Preferred Qualifications

MS in Mathematics, Physics, Engineering, Computer Science, or a related field
5+ years of experience designing and implementing AI/ML algorithms across a variety of datasets
Proven experience applying state-of-the-art deep learning techniques to solve distributed resource allocation problems
Hands-on experience building computer vision pipelines for detection, tracking, segmentation, or multi-modal sensor fusion
Experience with modeling and simulation platforms such as AFSIM, Blender, Unity, or Unreal
Comfort working in high performance computing environments (GPU/CPU clusters)
Proficiency in one or more technology areas: multi-agent reinforcement learning, geometric deep learning, multi-modal sensor fusion, agentic AI
Track record of writing deployable, production-level code in Python and C/C++ for real-world applications

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