AI & Computer Vision Researcher at Robotics Startup

OneSec

Fatih

On-site

TRY 450,000 - 750,000

Full time

34 hours ago
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Job summary

OneSec in Istanbul is seeking an AI & Computer Vision Researcher to design, develop, and optimize perception, recognition, and decision-making for robotic food delivery systems. You will prototype, evaluate models, and collaborate with engineering teams to deploy production-ready AI.

The ideal candidate has a strong CS foundation and hands-on experience with CV/ML tools, with a track record in research or publications.

Qualifications

  • Strong foundation in Computer Science, including algorithms, data structures, and software engineering principles.
  • Expertise in Pattern Recognition and Computer Vision methods for detection, tracking, and classification.
  • Experience in Data Science and Statistics for experiment design, model evaluation, and performance analysis.
  • Demonstrated Research skills, including problem formulation, literature review, experimentation, and publication or technical reporting.
  • Proficiency with relevant tools and frameworks (e.g., Python, C++/C, PyTorch or TensorFlow, OpenCV).
  • Background in machine learning or deep learning applied to real-world sensor data, preferably in robotics or autonomous systems.
  • Bachelor’s, Master’s, or PhD in Computer Science, Electrical/Computer Engineering, Robotics, or a related quantitative field.
  • Ability to work on-site in Istanbul, collaborate in multidisciplinary teams, and communicate complex concepts clearly.

Skills

Python
C/C++
PyTorch
TensorFlow
OpenCV
Machine Learning
Robotics

Education

Bachelor's in CS/EE/Robotics
Master’s or PhD in related field

Tools

PyTorch
TensorFlow
OpenCV
ROS
Git
Linux

Job description

OneSec is an AI-driven robotics startup focused on transforming food delivery by making it significantly faster and more cost-efficient. By integrating advanced artificial intelligence and automation, the company aims to deliver meals 5 times faster and 27 times cheaper than traditional delivery methods. OneSec is in a growth phase and actively seeks skilled professionals in engineering, quality control, and operations to strengthen its multidisciplinary team. Joining OneSec offers the opportunity to work on cutting-edge robotics and AI solutions that directly impact everyday consumer experiences and the future of urban logistics.

Role Description

The AI & Computer Vision Researcher will design, develop, and optimize algorithms for perception, recognition, and decision-making in robotic food delivery systems. Day-to-day work includes conducting applied research, building and evaluating computer vision models, analyzing data from sensors and cameras, and collaborating with engineering teams to integrate models into production-ready systems. The role involves prototyping, experimenting with new methods, improving accuracy and robustness, and documenting findings for both technical and non-technical stakeholders. This is a full-time, on-site position based in Istanbul, working closely with cross-functional teams to push the performance and reliability of OneSec’s AI-driven delivery platforms.

Qualifications
  • Strong foundation in Computer Science, including algorithms, data structures, and software engineering principles.
  • Expertise in Pattern Recognition and Computer Vision methods for detection, tracking, and classification.
  • Experience in Data Science and Statistics for experiment design, model evaluation, and performance analysis.
  • Demonstrated Research skills, including problem formulation, literature review, experimentation, and publication or technical reporting.
  • Proficiency with relevant tools and frameworks (e.g., Python, C++/C, PyTorch or TensorFlow, OpenCV).
  • Background in machine learning or deep learning applied to real-world sensor data, preferably in robotics or autonomous systems.
  • Bachelor’s, Master’s, or PhD in Computer Science, Electrical/Computer Engineering, Robotics, or a related quantitative field.
  • Ability to work on-site in Istanbul, collaborate in multidisciplinary teams, and communicate complex concepts clearly.
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