Job Requirements
Skills
Job benefits
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Flexible work hours
Productivity curve is not something steady and consistent as it depends on each person's unique traits and preferences. At our company, as long as your team is in sync and your goal is hit, you can flexibly decide when you want to work.
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Team-building events
Our company simply cannot function well without teams of people working together. That said, we provide numerous team-building activities and events for you and your team to nurture meaningful relationships between every individual.
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Career growth
Ever feel stuck with your career? We don't hire you simply because we needed to fill an empty slot. Together, we will help you shape and grow your career so you can progress further and rediscover your true sense of purpose at work.
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Workstation assistance
In need of a laptop or certain devices specifically for work? It's on us. We will provide the necessary tools that you need so you can focus on what you do best and get a job done.
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Job description for Research Scientist (Computer Vision) at Thinkmatch
- Help the product team to sharpen problem statement definition to enhance our general process by leveraging image data.
- Develop computer vision use cases (object detection, image classification and OCR) using image data.
- Build scalable models and deploy them as REST API services in the production environment.
- Follow the latest trend of computer vision or OCR technologies and research into their applicability with the business needs.
- Coordinate with machine learning engineers to deploy end-to-end machine learning pipeline in production
- A research BS degree, MS degree or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
- Fresh graduates are encouraged to apply or At least 2 years of hands-on experience with large-scale systems in data science / software engineering / machine learning engineering preferred.
- Experience with linear algebra, calculus, statistics, and machine learning.
- Exposure to industry or academic research, proven with portfolio and/or publication records.
- Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to learn about them.
- Experience in other ML topics (NLP, speech, motion, time-series) is a plus.
- Experience in machine learning / deep learning deployment is a plus.
- Hands-on experience implementing or prototyping machine learning systems at scale in Python, Java, Scala, Go or similar languages.
- Experience with TensorFlow or PyTorch
Interview process
- Apply via Glints
- Screening interview with our recruiter
- Interview with our Hiring Manager
- Test
- Final interview
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