Computer Vision Engineer at Rapsodo | Ankara, Turkey

Rapsodo Inc.Ankara, Ankara, Turkey

On-site Full-time

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Experience Level

Mid to Senior

Qualifications

Requirements:Master’s or PhD in Computer Science or related fields, with a focus on Computer Vision and Image Processing.3-5 years of hands-on experience in computer vision applications. Proven expertise in 3D vision, camera calibration, image classification, segmentation, and feature extraction. Strong foundation in linear algebra, numerical optimization, probability, and statistics. Practical experience with OpenCV and related tools. Exceptional programming skills in C/C++, along with familiarity in Python. Experience in software architecture and API design, demonstrating strong integration capabilities.

About the job

Join Rapsodo, a premier sports technology company that specializes in designing cutting-edge computer vision and machine learning products aimed at enhancing athlete performance. With offices in key global locations including Singapore, Turkey, the USA, Japan, and the UK, Rapsodo has established itself as a leader in the sports technology sector. Our esteemed partners include all 30 MLB teams, MLB, USA Baseball, Golf Digest, PGA of America, and more than 1000 NCAA athletic departments.

Opened in 2018, our Ankara office serves as the R&D hub for Rapsodo, located within the Bayraklı & Technopark at Ege University in Izmir, a recognized Technopark by the Ministry of Science, Industry, and Technology. Our workspace is home to diverse teams specializing in UI/UX, Mobile, Cloud Technologies, Computer Vision, Deep Learning, Data Science, and Unity. As Rapsodo continues to expand rapidly, we seek collaborative team players eager to contribute to delivering state-of-the-art solutions. We invite you to apply for the role of Computer Vision Engineer and join our innovative team!

Key Responsibilities:

Design, develop, and implement advanced computer vision and image processing algorithms, including 3D vision, camera calibration, image classification, segmentation, and feature extraction.
Engage in research and employ sophisticated techniques in linear algebra, numerical optimization, probability, and statistics to enhance image processing solutions.
Utilize OpenCV and other relevant libraries to create and optimize vision-based applications.
Architect and maintain robust software designs and APIs, ensuring smooth integration with existing systems.
Collaborate with multidisciplinary teams to implement and refine innovative vision-based solutions.
Enhance the performance and scalability of computer vision algorithms for practical applications.

About Rapsodo Inc.

Rapsodo is at the forefront of sports technology, dedicated to developing innovative products that leverage computer vision and machine learning to enhance athletic performance. With a solid presence globally and partnerships with major sports organizations, we are committed to pushing the boundaries of sports technology.

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Heartstrings Pet Hospice, In-Home Euthanasia & Aftercare

Part-time|Remote|Jersey Village TX

Join Heartstrings Pet Hospice and experience the fulfillment of providing compassionate end-of-life care to pets and their families. As a Part-Time In-Home Veterinarian serving Jersey Village and the Greater Houston area, you will have the opportunity to reconnect with pet families and deliver the quality care you’ve always envisioned, with ample appointment times and limited administrative responsibilities.At Heartstrings Pet Hospice, we understand the significance of supporting pets during their final moments by offering in-home euthanasia services. Founded by veterinarians, we are dedicated to fostering deep and meaningful relationships with pet families, colleagues, and our local community. Join our nurturing environment where you can flourish both professionally and personally.Why Heartstrings Pet Hospice?Make a significant impact with an average of 3-4 appointments dailyReceive heartfelt gratitude and appreciation from familiesEnjoy the flexibility of a mobile practice, free from clinic constraintsAccess comprehensive training and ongoing mentorshipAchieve a true work-life balance with flexible scheduling options (2-5 days per week, with most appointments from 9 am to 5 pm)Engage in team-building activities and retreats

Mar 1, 2026

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