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Evening Computer Vision Deep Learning Engineer Jobs in Maryland

Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience

Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience

SLAM Engineer

Columbia, MD · On-site

$175K - $230K/yr

Collaborate with the team's deep learning expertise to evaluate and selectively integrate learning ... Master's, or PhD in Computer Science, Computer Vision, Robotics, or a related field - or equivalent ...

Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience

Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience

Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience

Showing results 41-60

Evening Computer Vision Deep Learning Engineer information

What is the difference between Evening Computer Vision Deep Learning Engineer vs Computer Vision Deep Learning Engineer?

AspectEvening Computer Vision Deep Learning EngineerComputer Vision Deep Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with deep learning frameworksBachelor's or Master's in CS, AI, or related fields; experience with deep learning frameworks
Work EnvironmentTypically evening or night shifts, often in research labs or tech companiesStandard daytime hours, in offices or remote settings
Industry UsageUsed in industries with 24/7 operations like surveillance, security, or manufacturingCommon across tech, automotive, healthcare, and research sectors

The main difference lies in work hours and shift timing. Evening Computer Vision Deep Learning Engineers work primarily during evening or night shifts, often in environments requiring 24/7 monitoring or operations. In contrast, Computer Vision Deep Learning Engineers usually work standard daytime hours. Both roles require similar skills and educational backgrounds, but their schedules and work environments differ significantly.

What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in Maryland? The most popular types of Computer Vision Deep Learning Engineer jobs in Maryland are:
What are popular job titles related to Evening Computer Vision Deep Learning Engineer jobs in Maryland? For Evening Computer Vision Deep Learning Engineer jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Evening Computer Vision Deep Learning Engineer jobs in Maryland look for? The top searched job categories for Evening Computer Vision Deep Learning Engineer jobs in Maryland are:
What cities in Maryland are hiring for Evening Computer Vision Deep Learning Engineer jobs? Cities in Maryland with the most Evening Computer Vision Deep Learning Engineer job openings:

Postdoctoral Fellow in AI and Cognitive Science

Johns Hopkins University

Baltimore, MD • On-site

$48K - $66K/yr

Full-time

Re-posted 17 days ago


Johns Hopkins University rating

8.0

Company rating: 8.0 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

187th of 618 rated colleges and universities


Job description

Description
The Language Creation and Learning Laboratory (PI Annemarie Kocab) in the Department of Cognitive Science at Johns Hopkins University seeks an outstanding postdoctoral fellow to lead scientific efforts on machine learning applications to signed languages to begin by Fall 2026.
The fellow will work on research projects spanning evaluation of deep learning neural networks trained on signed language recognition. The fellow will work closely with the PI Annemarie Kocab and collaborator Alex Lu, Senior Researcher at Microsoft Research. Duties will include:
  • Design, execute, and troubleshoot experiments
  • Develop and validate benchmarks for model evaluation
  • Contribute to the development of datasets for model training and evaluation
  • Mentor and supervise graduate and undergraduate students
  • Prepare progress reports and present results to collaborators
  • Publish findings in peer-reviewed journals and conference proceedings
  • Contribute to competitive grant proposals to federal agencies (e.g., NIH)

Qualifications
Required Qualifications
  • PhD in Cognitive Science, Computer Science, Psychology, Linguistics, or related fields
  • Ability to move to and work at Johns Hopkins University, USA
  • Demonstrated track record of first-author publications and presentations
  • Experience with computational methods and machine learning, including but not limited to deep learning, computer vision, computational linguistics, pretraining methods, interpretability, and transfer learning
  • Experience with cognitive science, particularly psycholinguistics or linguistics
  • Proficiency in data analysis and computational tools; strong programming skills (e.g., MATLAB, Python, or equivalent)
  • Ability to lead research projects and collaborate with experimentalists
  • Strong written and oral communication skills

Preferred Qualifications
  • Experience with human computer interaction, accessibility, or AI fairness and ethics

Application Instructions
Submit a cover letter, CV, sample of work, and 3 letters of reference to Interfolio.

What Johns Hopkins University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Johns Hopkins University

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Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Baltimore, MD, US

Year founded

1876