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Powering Fully Autonomous Environments

We provide the automation platform and distributed perception stack to drive autonomous decision making and robotic service delivery in any environment.

We have worked closely with groups including CSIRO, Waterfront Toronto, Microsoft, Volkswagen, and Audi Research.

Fully Autonomous Markets

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Black.ai's autonomous supermarket platform maps and monitors the state of your store in real-time using a small number of discrete 3D sensors that are built into the ceiling space.

Our distributed decision-making stack maintains a virtual 'cart' for each customer, reliably detecting and tracking all product interactions for your patrons. Detect pickup / put down events for all variety of products, even troublesome fresh-produce items, without the need to make any changes your store layout.

Large-scale installation takes days, and immediately provides you with customer data of unprecedented depth. This system enables level 1, 2, or 3 automation for your stores as desired, including completely cashier-less retail. No queues, no checkout.


We are now taking registrations of interest for autonomous store partners in late 2018 - 2019.

If you're interested in piloting this at your store please email us at contact@black.ai

Coming soon:
Automated Industrial Safety with black.ai

More information to be announced in October 2018.

If you're interested in piloting this at your location please email us at contact@black.ai

Jobs at black.ai

About You:
We’re looking for someone who isn’t afraid to be wrong, someone who can look at a problem we’ve all been stuck on and proudly give us a new perspective on it.

You’re passionate about what we’re working on, and passionate about the future of technology and automation as a whole. You love what we do, and you’re excited about the new problems you’ll face each day.

You’re an excellent communicator, and thrive in collaborative work spaces. Due to the small size of our company, we are all constantly crossing over into different areas of expertise to help each other brainstorm new ideas.

You’re not afraid to jump into the deep end and figure it out as you go along, and most importantly, you’re not afraid to ask for help if you feel like you’re drowning.

If this sounds like you, apply above.

ML Engineer Role @ black.ai

The Role:
Machine learning is a crucial part of what we do at black. We like developing things from scratch and performing several experiments rapidly.

As a Machine Learning Engineer at black, you must have a fundamental understanding of machine learning and embedded systems.

We seek candidates with a passion for high performance computing, robotics and complex analysis, who wish to become global authorities in the field of AI and take pride in implementing cutting-edge research.

You will be working closely with our Research team and Software Developers to co-develop machine learning solutions for a variety of different tasks and projects.

This is a full time position in our Melbourne office.

Requirements:
Very proficient in Python/Bash/C/C++ programmingMSc graduate with a background in mathematics or computer scienceAn academic background OR equivalent practical experience in implementing: i. Modern deep learning (CNNs, RNNs, LSTMs, GANs)
ii. Traditional methods of deep learning (Random Decision Forests, Gradient Boosting, SVM, HOG)
Strong knowledge of recently developed machine learning approaches. You carefully read the relevant papers and can confidently explain how most modern deep learning networks function down to first principles2+ years experience using Unix variant OSExperience with Tensorflow, Darknet, TensorRTDecent portfolio of prior ML projectsAble to work autonomously and be self-driven
We understand, however, that academic experience is not always indicative of ability. So if you believe that you would be suitable for this role due to having a large amount of hands on, practical experience, please don’t hesitate to apply.


Apply:
Send your CV to contact<at>black<dot>ai, alongside a portfolio of the projects you’ve worked on, if available.

ML & Vision Researcher @ black.ai

The Role:
Most of our work revolves around computer vision. We like developing things from scratch and performing several experiments rapidly. As a machine learning researcher at black, you must have a fundamental understanding of the field and experience in working with all kinds of machine learning down to the underlying math.

We seek candidates who wish to become global authorities in the field of AI and take pride in exceeding what is currently possible in research.

You will be working closely with our Computer Vision Engineers and Developers to co-develop machine learning solutions for a variety of different tasks and projects.

This is a full time position in our Melbourne office.

Requirements:
Very proficient in Python/C/C++ programming.A PhD, MSc graduate with a background in mathematics or computer science OR 2+ years of equivalent practical experience in: i. Applied modern deep learning (CNNs, RNNs, LSTMs, GANs)
ii. Applied traditional methods of machine learning (Random Decision Forests, Gradient Boosting, SVM, HOG)
iii. Applied mathematics (statistical inference, bayesian methods, learned euclidean geometry)*
Strong knowledge of recently developed object detection and classification techniques. You carefully read the relevant papers and can confidently explain how most image recognition algorithms work down to first principles.Evidence of independently developed resources such as network architectures, image augmentation algorithms, framework improvements, etc.Experience with Tensorflow preferred.Demonstrable coding ability is essential.Fluent in English.Able to work autonomously and be self-driven.

We understand, however, that academic experience is not always indicative of ability. So if you believe that you would be suitable for this role due to having a large amount of hands on, practical experience, please don’t hesitate to apply.

Apply:
Send your CV to contact<at>black<dot>ai, alongside a portfolio of the projects you’ve worked on, if available.

Contact Us

If you have an environment that could benefit from improved event tracking or automation infrastructure please get in touch.

We're usually pretty busy and our team does need to sleep, so while we can't promise an instant response we'll always try to get back to you within 24 hours.

contact@black.ai