Job Detail

Junior Computer Vision Scientist

Data Science and AI À plein temps
ID: #10742
Posted: 2026-03-15
Salary

Description

Team Description The Computer Vision team lies at the heart of our mission to deliver precise and high-quality tracking data for sports. We leverage advanced Deep Learning and state-of-the-art Computer Vision techniques to extract the location, movements, and identity of every player and the ball directly from broadcast video. American football presents unique computer vision challenges, such as tracking fast-moving players while handling occlusions. Your work will directly contribute to solving these problems. Role We are currently recruiting a Junior Computer Vision Scientist to join the American Football Computer Vision team. In this role, you will design, implement, and optimize cutting-edge algorithms alongside a more experienced team member. As a junior team member, you are expected to have first experience in deep learning applied to Computer Vision (internship, permanent contract, personal project…), with a demonstrated interest in the underlying mechanisms of neural networks and prior hands-on experience in training them. Your rigor, curiosity and eagerness to grow will be strong assets for this position. You will work with tools like PyTorch/TensorFlow, OpenCV, and deep learning architectures (CNNs, Transformers, etc.) to develop detection, tracking, and recognition algorithms. This position offers a rare balance between advanced R&D and real-world application. You’ll have the freedom to explore and develop innovative solutions, knowing that your work will quickly transition from research to production, directly impacting sports teams and organizations worldwide.

Hard Skills 7
Skill Source Confidence
Neural Networks llm_hard
100%
Deep Learning llm_hard
100%
Convolutional Neural Networks (CNN) llm_hard
100%
Transformers llm_hard
100%
TensorFlow llm_hard
100%
PyTorch llm_hard
100%
Computer Vision llm_hard
100%
Soft Skills 1
Skill Source Confidence
Curiosity llm_soft
100%
Apply Options
Publisher Direct Link
Trabajo.org Yes Apply
Trabajo.org No Apply
API Logs for this Job
Query Country Status Response ms Created
Junior Computer Vision Scientist extracted 3830 2026-03-22 02:38
Junior Computer Vision Scientist classified 453 2026-03-21 21:04
junior research scientist in Paris fr duplicate 4235 2026-03-21 17:18
junior computer vision engineer in Paris fr duplicate 5186 2026-03-21 17:15
junior computer vision engineer in France fr duplicate 17530 2026-03-21 17:15
junior deep learning engineer in Paris fr duplicate 5117 2026-03-21 17:12
junior deep learning engineer in France fr duplicate 3340 2026-03-21 17:12
junior machine learning engineer in Paris fr duplicate 10871 2026-03-21 16:59
junior machine learning engineer in France fr processed 4710 2026-03-21 16:58
Raw JSON
{
  "job_id": "zesmWbcxegATnMwRAAAAAA==",
  "job_city": "Paris",
  "job_state": null,
  "job_title": "Junior Computer Vision Scientist",
  "job_salary": null,
  "job_country": "FR",
  "job_benefits": null,
  "job_latitude": 48.857547499999995,
  "job_location": "Paris",
  "job_onet_soc": "15111100",
  "apply_options": [
    {
      "is_direct": true,
      "publisher": "Trabajo.org",
      "apply_link": "https://fr.trabajo.org/offre-4025-5e47a80e34e9e18ecfe8d9ed9e45052d?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
    },
    {
      "is_direct": null,
      "publisher": "Trabajo.org",
      "apply_link": "https://fr.trabajo.org/offre-4025-5e47a80e34e9e18ecfe8d9ed9e45052d"
    }
  ],
  "employer_logo": null,
  "employer_name": "SkillCorner",
  "job_is_remote": false,
  "job_longitude": 2.3513764999999998,
  "job_posted_at": "il y a 6 jours",
  "job_publisher": "Trabajo.org",
  "job_apply_link": "https://fr.trabajo.org/offre-4025-5e47a80e34e9e18ecfe8d9ed9e45052d?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic",
  "job_highlights": {},
  "job_max_salary": null,
  "job_min_salary": null,
  "job_description": "Team Description\n\nThe Computer Vision team lies at the heart of our mission to deliver precise and high-quality tracking data for sports. We leverage advanced Deep Learning and state-of-the-art Computer Vision techniques to extract the location, movements, and identity of every player and the ball directly from broadcast video.\n\nAmerican football presents unique computer vision challenges, such as tracking fast-moving players while handling occlusions. Your work will directly contribute to solving these problems.\n\nRole\n\nWe are currently recruiting a Junior Computer Vision Scientist to join the American Football Computer Vision team. In this role, you will design, implement, and optimize cutting-edge algorithms alongside a more experienced team member. As a junior team member, you are expected to have first experience in deep learning applied to Computer Vision (internship, permanent contract, personal project…), with a demonstrated interest in the underlying mechanisms of neural networks and prior hands-on experience in training them. Your rigor, curiosity and eagerness to grow will be strong assets for this position.\n\nYou will work with tools like PyTorch/TensorFlow, OpenCV, and deep learning architectures (CNNs, Transformers, etc.) to develop detection, tracking, and recognition algorithms.\n\nThis position offers a rare balance between advanced R&D and real-world application. You’ll have the freedom to explore and develop innovative solutions, knowing that your work will quickly transition from research to production, directly impacting sports teams and organizations worldwide.",
  "job_google_link": "https://www.google.com/search?q=jobs&gl=fr&hl=fr&udm=8#vhid=vt%3D20/docid%3DzesmWbcxegATnMwRAAAAAA%3D%3D&vssid=jobs-detail-viewer",
  "employer_website": "https://skillcorner.com",
  "job_onet_job_zone": "5",
  "job_salary_period": null,
  "job_apply_is_direct": true,
  "job_employment_type": "À plein temps",
  "job_employment_types": [
    "FULLTIME"
  ],
  "job_posted_at_timestamp": 1773532800,
  "job_posted_at_datetime_utc": "2026-03-15T00:00:00.000Z"
}