Machine Learning Engineer for Toshiba product

Remote · 3 years of experience · 24 September

Xenoss — розробник програмного забезпечення з Нью-Йорка, який будує комплексні highload системи та унікальні data-centric рішення для багатьох нішевих бізнесів. Серед клієнтів — провідні SaaS-компанії, всесвітньо відомі підприємства та стартапи, що активно розвиваються (наші рішення стали технологічною основою таких багатомільярдних бізнесів як Nestlé, Adidas, Virgin, HSBC).

Toshiba Global Commerce Solutions is one of the world leaders in software and hardware for retail automation. A toolkit is being developed for the Cashierless Store concept, similar to what was done in Amazon Go. We work on innovative Retail problems (Frictionless Shopping Experience for Customers) in Computer Vision that require robust and efficient solutions. You will work together with similar minds in a cool team where your skills and expertise will make a difference to influence future user experiences for millions.

Skills required

Key Qualifications — Experience in ML/AI related to the images/video processing — Proficient in Python and C++ — TensorFlow / Keras / PyTorch — Experience in implementing machine learning algorithms on mobile / embedded devices is a plus

Working conditions

Do you have a passion for computer vision and deep learning problems? We are looking for someone who thrives on collaboration and wants to push the boundaries of what is possible today! The Toshiba Innovation Center is an applied research and engineering organization responsible for developing real-time on-device Computer Vision and Machine Perception technologies across Toshiba Elera ecosystem. We balance research and development to deliver innovating through the full stack, and collaborating with HW, SW and Data Science teams to influence the sensor and silicon roadmap that brings our products to life.

Warning

If you want to submit your resume and apply for a vacancy, then you need to register.

You can register using the link Sign in

Sign in
Or by mail
Sign in
Or by mail
Register with email
Register with email
Forgot password?