Machine Learning Engineer, Computer Vision
Actively Hiring
Full-time $141k - $202k Posted 5 months ago
Responsibilities
- check_circle Develop solutions in artificial intelligence and machine learning applications for smart manufacturing.
- check_circle Implement and adapt deep learning architecture and the goal to land the factory test stations with a focus on automatic optical inspection solutions for production lines from new product introduction (NPI) to mass production (MP) stage.
- check_circle Understand and be able to debug the computer vision or image processing algorithms to investigate camera or assembly failures.
- check_circle Design and develop components of scalable Machine Learning infrastructure for manufacturing.
- check_circle Maintain and improve existing AI platform to support advanced automatic optical inspection.
Basic qualifications
- Bachelor's degree in Electrical Engineering, Computer Science, relevant technical field or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages (e.g., Java, Python, C/C++).
- Experience with image processing, computer vision, and machine learning algorithms.
- Experience with machine learning computer vision algorithm development and tools (e.g., tensorflow, flume, machine learning libraries), artificial intelligence, deep learning.
- Experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
Preferred qualifications
- Master or PhD degree in Engineering with a focus on Computer Vision or Camera, or equivalent practical experience.
- Experience in building and testing consumer electronic products for manufacturing including design for manufacturing (DFM) and design for test (DFT).
- Experience in building machine learning powered automatic-optical-inspection (AOI) systems including hardware, software, and algorithms.
- Experience with Machine Learning infrastructure (e.g., model deployment, model evaluation, model serving, data processing, debugging, fine tuning).
- Experience with generative AI and LLM related skills (e.g. Gemini AI suite, Vertex AI).
- Ability to travel domestically or internationally up to 20% of the time as needed.
Tags & Focus Areas
Fulltime Ai Machine Learning Deep Learning Computer Vision Tensorflow
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