Connecticut Innovations · 4 days ago

Computer Vision Engineer

Connecticut, United States

Full-time

Remote

Entry, Mid Level

2+ years exp

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Hiring Manager

Bo Bradstreet

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Responsibilities

Report to the Chief Technology Officer and be part of a collaborative Engineering Team supporting the company's top-rated AI-powered dash cam and safety alert app and developing it into insurance-backed programs for commercial and personal drivers.

There will be direct integrations with insurance, automotive and municipal partners working to enhance road safety.

Qualification

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Machine LearningComputer VisionPythonDeep LearningOpenCVPytorchTensorFlowKerasMxNetData WranglingC++RImage SegmentationObject DetectionClassification3D Scene ReconstructionFunctional Programming

Required

2-5 years ML related work experience with at least 1 year specialization in computer vision.

Strong academic understanding of the science behind modern machine learning (e.g. linear algebra, statistics, optimization, algorithms).

Practical experience implementing computer vision solutions, collaborating with a team, and shipping ML products at scale.

Experience with supervised, unsupervised, deep, and/or reinforcement learning algorithms.

Experience in (and opinions about) OpenCV, modern deep learning frameworks (e.g. Pytorch, Tensorflow, Keras, MxNet, etc.), and on-device libraries like CoreML.

Proficiency in Python, with some experience in C++.

Passion for working with huge datasets and the data wrangling challenges they present.

Excellent communication skills and ability to present a compelling argument for implementation of solutions.

Rigorous attention to detail and quality of model input and output, with an obsession about validation metrics and train-test-validation datasets.