Looking for a hands-on opportunity to support cutting-edge applied research in ophthalmic imaging and medical device development? This temporary Junior Applied Research Engineer role offers the chance to work with real-world data, collaborate across technical teams, and contribute to the advancement of image processing and computer vision workflows.
Responsibilities
- Use imaging hardware to collect data following established procedures, protocols, and study plans
- Create, review, and maintain high-quality ground-truth datasets that support computer vision development, testing, and validation
- Process ophthalmic image data using existing Python and/or C++ scripts, including batch processing, visualization, and result review
- Investigate and troubleshoot data collection issues, script errors, and image quality concerns before escalating as needed
- Review collected data to identify failure modes, quality gaps, and opportunities to improve collection or annotation workflows
- Document experiments, maintain dataset traceability, and prepare concise updates on progress, findings, risks, and next steps
- Support unit testing and performance evaluation of image processing and algorithmic pipelines using collected datasets
- Collaborate with applied research, software, hardware, clinical, and other cross-functional partners as needed
Skills
- 0-3 years of relevant experience through industry, internship, co-op, or research in imaging, computer vision, robotics, biomedical engineering, electrical engineering, computer science, or a related field
- Familiarity with image processing or computer vision concepts such as segmentation, feature extraction, registration, detection/tracking, calibration, or quality assessment
- Ability to run, debug, and make limited edits to existing Python and/or C++ scripts
- Strong comfort working independently by reviewing documentation, testing ideas, and completing background research before asking for help
- Hands-on experience collecting, organizing, and analyzing experimental or imaging data
- Comfort working with hardware, lab setups, prototype systems, and imperfect real-world data
- Bachelor's or master's degree in computer science, electrical engineering, biomedical engineering, computer engineering, robotics, mechanical engineering, or a related scientific or engineering discipline
Preferred Skills
- Experience generating or reviewing ground-truth labels, annotations, or validation datasets
- Proficiency in Python, with experience using OpenCV, NumPy, Pandas, SciPy, or similar libraries
- Experience with Git, Linux/command-line tools, MATLAB, or C++
- Exposure to medical imaging, ophthalmic imaging, or regulated medical device development
Horizontal is committed to fostering a workplace where diversity, equity, and inclusion are valued and respected. We encourage candidates from all backgrounds to apply and to bring their unique perspectives, experiences, and ideas to the team.
By applying for this position, you acknowledge and agree that Horizontal Talent may contact you regarding your application using automated technology, including phone calls, SMS/text messages, or email, which may be delivered by our virtual AI recruiter, Alex.
Please apply through this online posting or by visiting our Job Board at Applications will be accepted for 4 weeks. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $22 - $35 per hour based on qualifications and experience.
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