Ai & Computer Vision Researcher - Robotics Startup

Onesec Teslimat Teknolojileri

Beyoğlu

On-site

TRY 600,000 - 900,000

Full time

13 days ago

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Job summary

OneSec is an AI-driven robotics startup in Istanbul focused on transforming urban food delivery with faster, cost-efficient solutions.

The AI & Computer Vision Researcher will design, build, and optimize perception, recognition and decision-making algorithms, prototype models, analyze sensor data, and work closely with cross-functional teams to push performance and reliability of OneSec’s AI-driven delivery platforms.

Qualifications

  • Solid CS fundamentals including data structures and algorithms.
  • Expertise in pattern recognition and CV for detection, tracking, classification.
  • Experience with data science and statistics for experiment design.
  • Demonstrated research skills, literature review, and reporting.
  • Proficiency with Python, C/C++, PyTorch or TensorFlow, OpenCV.
  • Background in ML/DL applied to sensor data in robotics.

Responsibilities

  • Design and optimize perception, recognition, and decision-making algorithms for robotic delivery.
  • Prototype and evaluate computer vision models; analyze sensor and camera data.
  • Collaborate with engineering teams to integrate models into production systems.
  • Document findings for technical and non-technical stakeholders.
  • Publish or report research results as needed.

Skills

CS fundamentals
Pattern Recognition
Computer Vision
Data Science
Research skills
Robotics/Autonomous systems
Multidisciplinary collaboration

Education

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

Tools

Python
C/C++
PyTorch or TensorFlow
OpenCV

Job description

COMPANY 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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