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STAFF ML ENGINEER
The product you are working on will forever change the realities of technological reach and advancement in our world. Vision is a frontier that has yet to be fully understood and navigated; that is capable of running on edge devices with ubiquitous functionality, ensuring accessibility is at the heart of our technology; you will need to be confident in your ability to lead new development innovations that promote better products in the vision space.
LOCATION
Grand Rapids, MI
EMPLOYMENT TYPE
Full-Time
What You’ll Do
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In this role, you will work together with similar minds in a unique development team where your skills and expertise will be utilized in Iris Technology
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You will design and implement new machine learning algorithms while collaborating with the most innovative product development teams at Iris
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Model optimization, pruning and acceleration to run efficiently on device
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Design and develop 2D and 3D deep learning models to solve real-world computer vision problems
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Author ML Papers and Documentations
Skills & Requirements
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MS, Ph.D. in a related field, or equivalent experience
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Proven track record of developing and productionalizing high-quality computer vision algorithms
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Fluency in Python and another language (C/C++, Go, Rust)
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You will have great technical skills, a drive for high quality software and the ability to innovate creative solutions
Who You are
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3+ years of professional experience in machine learning for computer vision applications
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Excellent knowledge and good practical skills in major machine learning algorithms
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Proven track record of developing and productionalizing high-quality computer vision algorithms
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Strong interpersonal skills able to work independently as well as in a team
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Excellent software design problem solving and debugging skills
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Fluency in Python and another language (C/C++, Go, Rust)
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You will have great technical skills, a drive for high quality software and the ability to innovate creative solutions
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Communicating clearly and having the flexibility to learn new technologies, while continuously developing your skills will be key to your success
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MS, Ph.D. in a related field, or equivalent experience
Highlights
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Work at a fast paced startup environment with no career cap (Why not shoot for an executive position?)
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Iris sponsored discounts within the city of Grand Rapid ie: breakfast discounts, lunch stipends, etc.
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Flexible work week with optional 4/10 schedule.
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International sponsorship opportunities for college graduates ie: H1B, Green Card.
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Luxury Offices with kitchens, snacks, meals, sleep pods, rec room.