Strong Analytics is seeking Computer Vision (CV) engineers to help develop CV and machine learning solutions for clients ranging from startups to Fortune 500s. CV Engineers are core contributors at Strong, and are able to work end-to-end on a variety of CV-specific projects involving visual odometry, 3D reconstruction, movement tracking, and much more. The ideal candidate has expertise in Python and/or C++, has worked with embedded and resource-constrained systems, and has experience optimizing custom vision models for production deployments.
At Strong, your work will have an immediate impact on clients addressing real world challenges. Our work spans industries such as manufacturing, gaming, agriculture, automotive, and healthcare, among others. We pride ourselves not only in building the right solutions for our clients through research and development, but in implementing and scaling up those solutions through strong engineering. This role thus requires a deep expertise in applying computer vision and machine learning to real-world problems where data must be gathered, transformed, cleaned, integrated into a larger architecture, and deployed.
Responsibilities
Work with other machine learning scientists and engineers to develop custom CV/ML solutions for a variety of industries and use cases
Build machine learning pipelines from ideation up through prototyping, development, and deployment
Develop, train, and validate machine learning algorithms
Optimize custom vision models for deployment on embedded systems (e.g. nVidia Jetson, Xavier, Google Coral)
Help create generalized solutions out of specific use cases
Help identify areas of opportunity and improvement within projects
Research new techniques and technologies in the CV space and evaluate their potential for business use cases
Collaborate in a fully remote, Agile-like environment using tools like Slack and Git (with a lot of uninterrupted development time)
We offer a comprehensive compensation package, including:
Competitive salary
100%-covered Health insurance for employees, 75%-covered dependents
Four weeks PTO
401(k) with employer contribution matching
Personalized monthly perks with matched charitable donations
A 100% remote work environment with highly protected work/life balance