Junior Applied Research Engineer
Listed on 2026-08-14
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Software Development
Python, AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Junior Applied Research Engineer
Eastridge Workforce Solutions is committed to connecting skilled professionals with meaningful career opportunities. We are seeking a Junior Applied Research Engineer to support our client's team. The hourly rate for this position is expected to be between $40.00 – $50.00 per hour, depending on geographic location, experience and other qualifications of the successful candidate. This is a temporary position, approximately 4 months, with possible extension to 6 months.
Job Summary:
- Support Applied Research activities for corneal health device programs through hands-on data collection, ground-truth generation, image processing, and algorithm evaluation
- Use imaging hardware to collect data per established procedures and study plans
- Generate and maintain high-quality ground-truth datasets for computer vision algorithm development and validation
- Process ophthalmic image data using existing Python/C++ scripts, including batch processing and result review
- Perform first-line troubleshooting of data collection, script, and image quality issues
- Analyze data to identify failure modes and improve collection/annotation workflows
- Document experiments and prepare concise progress summaries
- Support unit testing and performance evaluation of image processing and algorithmic pipelines
- Collaborate cross-functionally with Applied Research, software, hardware, and clinical teams
Requirements:
- 0–3 years of relevant experience in imaging, computer vision, robotics, biomedical engineering, electrical engineering, computer science, or related field
- Hands-on experience collecting, organizing, and analyzing experimental or imaging datasets
- Proficiency in Python; experience with OpenCV, Num Py, Pandas, or Sci Py strongly preferred
- Ability to run, debug, and make limited modifications to existing Python and/or C++ scripts
- Familiarity with image processing/computer vision concepts (segmentation, feature extraction, registration, detection/tracking, calibration, or quality assessment)
- Comfortable working with hardware, lab setups, and imperfect real-world data
- Strong organization, documentation, and communication skills
- Experience with Git, Linux/command-line tools, MATLAB, C++, or medical/ophthalmic imaging is a plus
- BSc or MSc in Computer Science, Electrical Engineering, Biomedical Engineering, Computer Engineering, Robotics, Mechanical Engineering, or related field
Eastridge Workforce Solutions offers the following benefits, subject to applicable eligibility requirements. Due to the varying length(s) of temporary assignments, Eastridge Workforce Solutions' Temporary Staff are not eligible for paid time off, unless required by applicable state law in which the position is based. However, from time to time Eastridge's clients may offer additional benefits to Eastridge employees while on assignment.
Information about those benefits will be communicated when applicable.
Equal Opportunity
Employer:
Eastridge Workforce Solutions is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity, and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, gender expression, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Eastridge Workforce Solutions also prohibits harassment or retaliation of applicants or employees based on any of these protected categories. It is our policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Please note that Eastridge is unable to provide visa sponsorship to applicants. Background Checks:
Certain clients require Eastridge Workforce Solutions to perform background checks. Eastridge will consider qualified applicants with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds.
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