About the company:
Seeing Machines (SM) is the world leader in the field of Safety-AI and prides itself on developing technologies that save lives, for real!
Around the globe and at any time of the day, there are thousands of vehicles on the roads that are using state-of-the-art operator monitoring technology developed by SM which provides real-time protection from distraction and fatigue events. We work with the world's leading OEMs across multiple transport sectors of automotive, commercial road transport (Fleet), and aviation. In automotive, we enable safer Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD) solutions. We are currently working with the biggest carmakers from around the world! In Fleet, our best-in-class aftermarket product Guardian provides safety for the drivers and fleet operators, and in aviation, our advanced gaze tracking technology understands how pilots interact and monitor instruments – leading to better training and safer operations.
About the Role:
Inside SM's innovation engine, the Advanced Embedding Team consists of world-class engineers who collaborate closely with machine learning researchers to build amazing embedded AI products. The group has a singular objective to build and deliver cutting-edge AI products on edge devices using the latest AI technology in a scalable, efficient and cost-effective way. As a part of this team, you will be working with the absolute cutting-edge technology in the field of deep learning, computer vision and embedding; and exploring the boundaries of what is possible in the realm of driver and operator monitoring.
So if you are a passionate engineer who loves building AI products, join us and help us design the cars of the future!
We are looking for outstanding engineers who are passionate about building AI products for edge devices.
Working closely with the team of machine learning researchers, you will be responsible for building cutting-edge AI products that are highly optimized and can deliver real-time performance. You will have the following main responsibilities:
Using the latest and greatest AI tools to deliver efficiency in AI product delivery via automation.
Taking ownership of proof-of-concept AI algorithms, understanding the science behind it and converting them into real products that are flawless!
Working with a team of embedding experts to deploy your algorithm on the production hardware.
Work closely with multiple collaborators (both internal and external) and have the knowledge of the full-stack to ensure seamless product delivery.
So if you are an amazing engineer with C++ skills and looking to upskill in machine learning OR a machine learning engineer with some C++ skills that you are interested in growing, this is exactly the kind of opportunity that you have been waiting for! Passion and interest in building AI products is a must. Everything else is secondary.
What do you need for this role:
Mandatory:
Outstanding Bachelor's qualification Software Engineering, Computer Science, Systems Engineering, or equivalent.
Experience in developing products using C/C++.
Experience in deep learning, machine learning and computer vision.
Strong problem-solving skills, written and verbal communication skills.
Be a team player and effectively collaborate with multiple teams.
Desirable:
Post-graduate qualification (PHD or Master's in Computer Vision, Machine Learning, or equivalent).
Experience in building and deploying AI systems.
Experience with Embedded hardware.
Experience with Git and Docker.
Experience with automation and MLOps tools.
Why Seeing Machines
Being
part of something meaningful - We are inventive, innovative and
collaborative and are making a real difference to safety on roads, all
around the world
Work
flexibly – we encourage our people to manage their work and personal lives
to achieve a balanced outcome
Diversely
Strong - We are global, Seeing Machines serves a growing market in the UK,
Europe, Africa, North America, Latin America, and Asia Pacific
We are
focused on employee support and understand the importance of our
collective wellbeing. You will have access to our Employee Assistance
Program any time you require it
We
reward and recognize achievement. You will have access to our global
benefits and reward platform.
For more information, visit:
http://www.seeingmachines.com
*For Aus roles –
Seeing Machines Acknowledges Traditional Owners of Country throughout Australia and recognizes the continuing connection to lands, waters and communities. We pay our respect to Aboriginal and Torres Strait Islander cultures, and to Elders past, present and emerging.
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