Software Engineer - Vision Analytics

SOUNDEYE PTE. LTD.; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A technology startup in Singapore seeks a candidate to develop vision analytics systems for detecting body postures. The ideal candidate should have a strong background in computer vision, deep learning, and machine learning. Key skills include problem-solving and excellent communication. Join our dynamic team and make a meaningful impact.

Qualifications

• Conduct thorough research on advancements in computer vision, deep learning, and machine learning.
• Solid understanding of computer vision concepts and techniques.
• Ability to work independently and collaboratively.

Responsibilities

• Develop the vision analytics system to detect various body postures.

Skills

Computer vision

Deep learning

Machine learning

Problem-solving

Analytical skills

Communication

Interpersonal skills

Education

Bachelor's or master's degree in Computer Science or related field

Job description

SoundEye is a startup spun-off by a researcher from the Agency of Science, Technology, and Research (A*STAR). Our solution employs sound and vision analytics to detect falls, bed exit, abnormal sounds, etc.

At SoundEye, we want you to feel empowered to make a difference with your work. We foster an environment that encourages innovation and creativity while prioritising the needs of our client base. So join SoundEye and realise your potential with our team.

The candidate is responsible for developing the vision analytics system to detect various body postures for various domains. The candidate is expected to have the following experience:

• Conduct thorough research and stay up-to-date with the latest advancements in computer vision, deep learning, and machine learning techniques.
• A bachelor's or master's degree in Computer Science, or a related field.
• Solid understanding of computer vision concepts, algorithms, and techniques
• Strong problem-solving and analytical skills with a keen attention to detail
• Ability to work both independently and collaboratively in a fast-paced, dynamic environment
• Excellent communication and interpersonal skills