Назад
13 дней назад

Senior Data Scientist (Computer Vision)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Data Scientist (Computer Vision) (Computer Vision/Multimodal AI): Designing and developing production-ready computer vision systems for interactive gaming systems with an accent on object detection, tracking, segmentation, video understanding, and model optimization. Focus on building scalable perception pipelines, optimizing real-time and edge inference, and integrating multimodal models into production through APIs and messaging frameworks.

Location: Singapore office; occasional travel of up to one trip per year for conferences, research collaborations, or business meetings.

Company

Razer develops gamer-focused products and interactive systems as a global gaming company.

What you will do

  • Develop computer vision algorithms for object detection, tracking, action recognition, segmentation, image classification, and video understanding.
  • Design end-to-end vision systems that meet functional, performance, and scalability requirements.
  • Define annotation schemas, labeling taxonomies, data requirements, and validation strategies for large-scale image, video, and multimodal datasets.
  • Train, fine-tune, evaluate, and optimize computer vision and multimodal models.
  • Optimize models for real-time inference, edge deployment, and large-scale serving under latency, memory, and throughput constraints.
  • Integrate and deploy models into production systems with software engineers through APIs and messaging frameworks.

Requirements

  • Proven experience developing computer vision algorithms and models for real-world applications.
  • Proficiency in Python or C++ and strong knowledge of image and video processing.
  • Hands-on experience with OpenCV, PyTorch, and TensorFlow.
  • Experience working with annotated datasets and evaluating model performance with task-specific metrics and benchmarks.
  • Master’s or PhD in Computer Science, AI, Machine Learning, or a related field, plus 2+ years of applied computer vision or multimodal AI experience.
  • Strong analytical, problem-solving, written communication, and verbal communication skills.

Nice to have

  • Experience with Vision-Language Models, multimodal learning, or generative AI for vision tasks.
  • Experience with RabbitMQ, gRPC, or REST APIs.
  • Exposure to distributed training, large-scale experiments, or multi-GPU systems.
  • Experience with ONNX, TensorRT, edge deployment, or real-time inference.

Culture & Benefits

  • Work with a global team across five continents.
  • Collaborate across data engineering, game development, and software engineering teams.
  • Contribute to an inclusive and respectful workplace.
  • Receive reasonable workplace accommodations where needed.

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