Lead Computer Vision Scientist

About the Job  

We are looking for a technical lead to manage a team of skilled engineers, computer vision experts and machine learning scientists working on our Cabin Monitoring technology. This team is building key pre-production functionality of Smart Eye’s next generation Automotive Interior Sensing product – novel automotive technology that will significantly improve road safety and will transform our transportation experiences. In this role, you will work closely with our product and program management teams, as well as other technical leads, to ensure successful delivery of features on our automotive roadmap. 

The Cabin Monitoring team is developing a variety of new features related to understanding the state of the car interior and that of the people in it through the intelligent application of the latest machine learning techniques. Our ultimate vision is to reduce traffic fatalities and help save lives. We hope to do this through safety features such as detection of child and pet left behind, and robust detection of occupant present and in-cabin activities. As well as features that understand occupant mood, emotions, and reactions, using Affectiva’s groundbreaking Emotion AI, to deliver better mobility experiences that enhance comfort, wellness, and entertainment. The Cabin Monitoring features vary from early-stage prototyping through to porting and deployment to a wide set of automotive embedded platforms. 

About you 

We are looking for a driven leader who wants to help bring our vision to life, shaping the future of automotive safety and mobility experiences. The ideal candidate knows how to build high-performing cross-functional teams of technical experts. They will contribute ideas and can then execute these effectively and efficiently. 

We are looking for passion, drive, initiative, and a sense of humor plus several of the skills listed below! If you meet some but not all the qualifications below, and you are interested in our mission and this opportunity, we hope you will apply anyway. 

Responsibilities 

• Lead a Cairo, Egypt-based team of engineers and scientists building Cabin Monitoring features using a combination of computer vision and machine learning technologies, such as object detection, cabin segmentation, human pose estimation 

• Collaborate with product managers and sales as a technical expert: assessing market requirements, sharing limitations and future improvements 

• Develop a plan for maturing technology to meet both internal and external requirements 

• Work with the VP of AI to build and execute a plan for Machine Learning team growth in the Cairo office, including recruitment, mentorship, and retention 

• Establish and improve Smart Eye’s best practices for software, computer vision and machine learning development 

Qualifications  
 

Must have: 

• Degree in Electrical Engineering, Computer Sciences, or Mathematics with specialization in computer vision or machine learning 

• At least 8 years of experience using computer vision, machine learning and deep learning techniques 

• Track record of delivering commercial technology products using machine learning and computer vision 

• At least 3 years of experience managing technical people 

• Experience developing pre-production or production software in the automotive industry 

• Experience working with deep learning frameworks (e.g., TensorFlow/Keras, PyTorch) 

• Clear communication and team collaboration skills. 

Nice to have: 

• Experience with deploying machine learning models on mobile/embedded platforms. 

• Experience working with multinational distributed teams 

• Graduate degree in Electrical Engineering, Computer Sciences, or Mathematics with specialization in computer vision or machine learning 

• Preference for candidates willing to work in person (hybrid model) in Cairo, Egypt 

 
About Smart Eye / Affectiva 

Smart Eye is the global leader in Human Insight AI, technology that understands, supports, and predicts human behavior in complex environments. Together with our subsidiaries Affectiva and iMotions, we are bridging the gap between humans and machines for a safe and sustainable future. 

Today, our technology is embedded in next-generation vehicles, leading the way towards human-centric mobility through Driver Monitoring Systems and Interior Sensing solutions. Our Research Instruments offer unparalleled insights into automotive, aviation, assistive technology, behavioral science and many more fields. 

Our subsidiary Affectiva is humanizing technology by pioneering Emotion AI, helping companies gain a deeper understanding of how consumers engage with their content, products, and services, in automotive, media & entertainment, market research and beyond. 

Our subsidiary iMotions provides the world’s leading biosensor software platform that synchronizes data streams in real time from multiple sensors. 

Smart Eye was founded in 1999 and is headquartered in Sweden with offices in the US, UK, Germany, Denmark, Egypt, Singapore, China, and Japan. A publicly traded company since 2016, our customers include NASA, Nissan, Boeing, Honeywell, Volvo, GM, BMW, Geely, Harvard University, over 1,300 research organizations around the world, 70% of the world’s largest advertisers and 28% of the Fortune Global 500 companies. 

Visit www.smarteye.ai for more information. 

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 

Additional Information and Company Benefits: 

·      Full time position located in 5th settlement - New Cairo - Egypt 

·      Competitive Benefits Package including social Insurance and premium medical insurance 

·    Unlimited PTO 

·    Casual Startup office culture, collaborative office space 

·     Flexible work schedule 

·       Complimentary snacks and drinks, and lunch provided once a week 
 

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.