The Johns Hopkins Center for Bioengineering Innovation & Design (CBID) in the Department of Biomedical Engineering is seeking an Assistant Research Engineer to lead computer vision and AI development for the VectorCam platform. VectorCam is an AI-enabled mobile imaging system designed to allow community health workers to identify mosquito species in real time, enabling faster vector surveillance and improved malaria control strategies. This role will serve as the technical lead for computer vision and image analysis within the project, responsible for designing and iterating on machine learning architectures, managing training pipelines and datasets, and optimizing models for deployment across edge and cloud environments. The successful candidate will work at the intersection of computer vision, edge AI deployment, mobile imaging systems, and global health field implementation. The role requires someone who is highly experimental and curious, constantly exploring new model architectures and approaches while pushing the performance and reliability of the AI system. The ideal candidate will also demonstrate strong attention to detail in data management and data science practices, and be able to clearly articulate the probability, statistics, and evaluation methods used when defending model design choices and performance claims.

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.

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.

Total Rewards
Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/ .

Equal Opportunity Employer
The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristics. The University is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors or demographic characteristics that are irrelevant to the program involved.

Pre-Employment Information
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Background Checks
After receiving a conditional offer, the successful candidate(s) for this position will be subject to a pre-employment background check including education verification. When deciding whether a candidate’s conviction history is job-disqualifying, the University considers the nature and gravity of the offense, the time that has passed since the conviction, and the nature of the job being sought.

EEO is the Law
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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.