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With the widespread adoption of e-commerce & multichannel sales, customers are expecting faster and high quality deliveries as well as painless processing of returns. This puts pressure on the logistics of goods, in particular in warehouses where order fulfillment requires number of repetitive pick-and-place tasks to be carried out several thousand times a day at different steps in the process, with strong peaks during high sales periods.
Thanks to world-leading AI and robot control software, Nomagic provides smart pick-and-place robotic systems that adapt to multiple environments and can receive, store, sort and pack products, operating from 1 shift, 5 days a week to 24/7 depending on needs. Nomagic's first robot is now setup on a packing line at Cdiscount.
Do you get excited when your software actually interacts with the physical world?
Are you ready to learn the new exciting world of smart robots?
Do you want to build groundbreaking technology?
Would you like to cooperate with top professionals in our industry?
If your answers are mostly yes, then you should keep reading.
At Nomagic, we’re on a mission to teach robots the real world. We’re now looking for a Machine Learning Intern, who’s ready to deep dive into the hard problems of physical manipulation (trying to match with software the millions of years of development leading to the human hand + eye) and bring his energy and commitment to our amazing team.
Offer essentials:
Play with robots every day
Salary: 8 000 - 10 000 gross UoP per month
Truly flexible working hours
Opportunity to learn from top-notch engineers
English-speaking environment
Partly remote work is possible!
Here is why we love this job ourselves, and hope you will enjoy it too:
We are at the forefront of AI Robotic systems changing our society - for the better!
We already have robots in production running 24/7
We are here to change the world. Our motto is “Iterate to excellence”
We’re still pretty small, so everyone has a direct impact on the final result
We have a very experienced AI, engineering & management team
We combine world-class research with top notch engineering and apply it to solve real problems
Some of the problems you may try to solve with us:
Expanding the perception capabilities of our system by enabling more variety of products that our robots can handle
Detecting anomalies, e.g. using a combination of signals to determine if a robot picked more than one item at once or if one item is disassembling
Training models that solve multiple problems with multiple loss functions
Productionizing ML models - performance monitoring and AB-testing
What skills we’d like you to have:
Hands-on experience with deep learning models
Understanding of fundamentals of machine learning and deep learning
Great problem solving and proficiency in Python
Ability to learn quickly new domains and navigate in complex systems
Energy and hands-on attitude! Strive to get things done and find solutions whatever it takes