Applied AI Researcher

Description

Job Description:

As an Applied AI Researcher, you will be responsible for researching, designing, and developing state-of-the-art deep learning solutions for various computer vision tasks, such as classification and detection.

Your role will involve reviewing academic research, implementing cutting-edge techniques, and innovating novel approaches to tackle complex vision challenges.

Key Responsibilities:

  • Lead the development of vision solutions in unexplored areas where existing knowledge is limited and take algorithms from concept to production.

  • Conduct research and review academic papers to design and implement scalable state-of-the-art solutions for computer vision tasks.

  • Define requirements for datasets and optimize models for performance.

#LI-DNI

Requirements

  • PhD in Computer Science, Electrical Engineering, or a related field from a leading university.

  • At least 3 years of hands-on experience in the research and development of deep learning algorithms for computer vision.

  • Proficiency in PyTorch, Python, and Git on a Windows environment.

  • Strong problem-solving abilities with experience developing innovative algorithms from scratch.

  • Familiarity with C++ and C# is an advantage.

  • Excellent teamwork and communication skills, with a strong collaborative mindset.

  • Ability to navigate ambiguous research areas and contribute to new advancements in the field.

This role is ideal for someone passionate about pushing the limits of vision AI, turning cutting-edge research into practical solutions, and driving innovation in a dynamic and fast-paced environment.

Summary

Research, design, and develop deep learning computer vision solutions from concept to production, including dataset requirements and model optimization. Requires a PhD in CS/EE or a related field, 3+ years of R&D experience in deep learning for computer vision, and proficiency in PyTorch, Python, and Git.

Responsibilities

Lead development of vision solutions from concept to production; conduct research and review papers to design scalable state-of-the-art computer vision solutions; define dataset requirements and optimize models

Qualifications

PhD in Computer Science, Electrical Engineering, or related field; at least 3 years hands-on R&D experience in deep learning algorithms for computer vision; proficiency in PyTorch, Python, and Git on Windows; strong problem-solving; familiarity with C++ and C# is an advantage; excellent teamwork and communication; ability to navigate ambiguous research areas

Education requirements

PhD in Computer Science, Electrical Engineering, or a related field from a leading university

Experience requirements

At least 3 years of hands-on experience in the research and development of deep learning algorithms for computer vision