Assistant Research Engineer - Computer Vision The VectorCam Project

Qualifications

• Qualifications Master's degree in Computer Science, Machine Learning, Computer Vision, Software Engineering, or a related field. Strong background in computer vision and deep learning. Experience training and evaluating computer vision models using frameworks such as PyTorch or TensorFlow. Strong understanding of probability, statistics, and model evaluation methods, with the ability to clearly explain the reasoning behind model choices and performance metrics. Experience working with image datasets, data pipelines, and model evaluation methodologies. Experience deploying machine learning models to edge devices or mobile platforms. Strong programming skills in Python and experience with machine learning development environments. Strong attention to detail in data management, experiment tracking, and dataset organization. Ability to independently explore technical approaches and rapidly prototype solutions. Interest in applying AI systems to real-world global health challenges.
• Preferred Experience Experience with model deployment on Android devices or mobile platforms. Experience with experiment tracking tools such as Weights & Biases, OpenCV, HuggingFace, Google's ML Kit or similar systems. Experience working with image datasets collected in real-world environments. Experience with edge AI optimization techniques such as quantization or pruning. Experience contributing to applied machine learning research or technical publications.

Application Instructions

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Salary Range

• The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.

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Vaccine Requirements

• Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. We still require all faculty, staff, and students to receive the seasonal flu vaccine.
• Exceptions to the seasonal flu vaccine or COVID-19 vaccine (for SOM) requirement(s) may be provided to individuals with sincerely held religious beliefs or medical conditions that preclude them from receiving the vaccine. Requests for an exception must be submitted to the JHU vaccination registry. For additional information, applicants for SOM positions should visit https://www.hopkinsmedicine.org/coronavirus/covid-19-vaccine/ and all other JHU applicants should visit https://covidinfo.jhu.edu/health-safety/covid-vaccination-information/ .
• The following additional vaccine requirements may apply, depending upon your campus. Please contact the hiring department for more information.
• The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those candidates who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.