Backed by A+ investors, we are a fully funded rapidly growing startup at the intersection of AI & Manufacturing. Headquartered in Cambridge, MA - this is a hybrid role or 100% remote.
You will have the opportunity to shape the future of our technology. We provide manufacturers with the world's most advanced computer vision AI system that keeps track of when things go wrong in production, quality, and maintenance by collecting production data. This allows for plant managers to receive alerts about operations issues in real-time, preventing monetary losses.
What You Will Be Doing
Conduct research, experimentation, and prototyping to enhance the accuracy and efficiency of computer vision systems.
Train, fine-tune, and optimize machine learning models to handle a variety of manufacturing tasks, such as quality control, defect detection, object recognition, and process optimization.
Create robust, scalable, and production-ready code for deployment of machine learning models on manufacturing lines.
What You Need
MS/PhD degree in Machine Learning, Computer Science, Software Engineering, Data Science or related fields preferred (open to BS with relevant professional and/or academic experience)
4+ years experience working in computer vision and machine learning
Knowledge of machine learning and computer vision libraries such as PyTorch, YOLO, TensorFlow, Keras, scikit-learn, OpenCV, PIL, and autoencoders is essential.
Proficiency in unsupervised, and semi-supervised learning techniques
Proven research or practical experience in developing algorithms for image processing, content-based video/image analysis, object detection, segmentation and tracking
What's in it for you?
$140k - $200k DOE
Healthcare, Vision, Dental benefits
Company equity
100% Remote Work
Flexible work schedule
Sponsored company events and happy hours
Benefits
Looking forward to receiving your resume through our website and going over the position with you. Clicking apply is the best way to apply, but you may also:
Email Your Resume In Word To
rajeev.peterson@cybercoders.com
Please do NOT change the email subject line in any way. You must keep the JobID: linkedin : RP6-1806093 -- in the email subject line for your application to be considered.***
Rajeev Peterson - Associate Manager
Applicants must be authorized to work in the U.S.
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Seniority level
Entry level
Employment type
Full-time
Job function
Information Technology
Industries
Software Development
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