1299 IT & Software Developer jobs in the US
Machine Learning Developer
$90,000 - 230,000
Johns Hopkins Applied Physics Laboratory (APL)
Johns Hopkins Road 11100, Laurel
$90,000 - 230,000
Requirements
Must:
We believe you meet the essential criteria for this position if you have:
- A Bachelor’s degree in Mathematics, Physics, Engineering, Computer Science, or a related discipline.
- A minimum of 2+ years of experience within the machine learning and data science domains.
- At least one year of practical experience in applying or developing machine learning algorithms with standard libraries such as PyTorch or TensorFlow.
- A solid foundational understanding of at least two of the following areas: classification, clustering, deep learning, reinforcement learning, computer vision (including object detection and visual tracking), multi-agent systems, or optimization/control theory.
- Proven experience working with version control systems such as Git.
- Strong communication skills, both verbal and written.
- The ability to obtain an Interim Secret level security clearance by your start date and ultimately achieve a Secret level clearance. If selected, you will undergo a government security clearance investigation and must satisfy the criteria for access to classified information. Eligibility requires U.S. citizenship.
You will surpass our basic requirements if you possess:
- A Master’s degree in Mathematics, Physics, Engineering, Computer Science, or a related area.
- Over 5 years of experience in designing and implementing AI/ML algorithms for various datasets.
- Demonstrated experience applying advanced deep learning techniques to address distributed resource allocation challenges.
- Practical experience building computer vision pipelines for detection, tracking, segmentation, or multi-modal sensor fusion.
- Familiarity with modeling and simulation platforms like AFSIM, Blender, Unity, or Unreal.
- Comfort in working within high-performance computing environments (GPU/CPU clusters).
- Expertise in one or more of the following realms: multi-agent reinforcement learning, geometric deep learning, multi-modal sensor fusion, agentic AI.
- A proven history of developing deployable, production-ready code (in Python, C/C++) for real-world applications.
Technologies
AI
HTTP
LESS
Machine Learning
PyTorch
Sensor Fusion
Responsibilities
As a Machine Learning Engineer on our team, you will:
- Conceive, execute, and appraise sophisticated machine learning algorithms that address complex real-world challenges related to planning, perception, coordination, and control in the arena of national defense.
- Create software pipelines to amalgamate data streams, simulation environments, and intelligent decision-making algorithms.
- Engage with technologies and ideas at the forefront of AI, encompassing but not limited to deep reinforcement learning, foundation models, large language models, convolutional/recurrent/graph neural networks, computer vision, and physics-driven modeling and simulation tools.
- Collaborate closely with our talented team of scientists and engineers, both within our group and across the organization.
- Directly engage with sponsors to relay proposed concepts, solutions, and analyses.
Description
We are in search of a seasoned Machine Learning Engineer who will play a crucial role throughout all stages of machine learning algorithm development and implementation. You will join a team of engineers and scientists at the forefront of our mission to provide innovative solutions to pressing challenges. At the Johns Hopkins University Applied Physics Laboratory (APL), we provide world-class expertise to tackle our nation’s most crucial defense, security, space, and scientific challenges. Our commitment to solving intricate problems and pioneering new technologies is matched by our exceptional organizational culture. We offer a vibrant and welcoming environment where you can be your true self, continue your growth, and forge meaningful connections with inspiring colleagues. At APL, we embrace our diverse perspectives and foster creativity and innovative ideas. Our employees enjoy an array of generous benefits, including an extensive education assistance program, exceptional retirement contributions, and a healthy work-life balance. APL's campus is conveniently situated in the Baltimore-Washington metro area. All qualified candidates will be considered 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. We are committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. Compensation for this position ranges from $90,000 to $230,000 annually, based on factors such as geographic location, experience, market conditions, education/training, and skill level, taking internal parity into account. Additional benefits are also available, and applications are accepted on a rolling basis.
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You can find Machine Learning Engineer salaries in the United States here.
How many Machine Learning Engineer jobs are in the United States?
Currently, there are 1299 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
Is the US a good place for Machine Learning Engineers?
The US is one of the best countries to work as a Machine Learning Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Machine Learning Engineer jobs in the United States?
Novatek International, Dulcedo Management, CA Tuning, Archon Systems Inc, HireRight, Callagy Recovery Corp., EPC Real Estate Group among others, are currently hiring for ML, AI roles in the United States.
The company with most openings is Jobot as they are hiring for 262 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Jobot as they are hiring for 262 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.