The Job
Smart Eye’s Driver Monitoring Function (DMF) team is looking for a Machine Learning Engineer who is interested in developing their computer vision and machine learning solutions.
You will work alongside Smart Eye’s technical developers and machine learning engineers based out of our Boston (US), Cairo (Egypt) and Gothenburg (Sweden) offices, as well as collaborate with peers internationally in Sweden and the United States.
The DMF team is responsible for developing features that monitor the driver, their safety, and their activity using the latest machine learning techniques. This team is building key functionality of automotive driver monitoring product that will significantly improve road safety and will transform our transportation experiences.
About You
We are looking for a motivated engineer who is excited to extend and augment Smart Eye’s automotive driver monitoring product. The ideal candidate will have a background in Computer Science or Software Engineering with a passion for machine learning. They are excited to learn and master new concepts, contribute with creative ideas and then execute them effectively and efficiently.
Your contribution to how we can meet our customers' needs with tomorrow's technology will be of crucial importance.
Responsibilities
Develop driver monitoring features using computer vision and variety of machine learning methods.
Develop and maintain software modules associated with driver monitoring: ML model integration, pre/post processing logic, unit tests and requirements tests.
Develop and maintain KPI reports to measure and analyze models' performance.
Contribute to Smart Eye’s shared machine learning infrastructure: model training and embedded conversion.
Define data scenarios for testing the features.
Debug root causes for faced issues and present results to product owners, team members and customers.
Qualifications
Must have:
Degree in Electrical Engineering, Computer Sciences, or Mathematics with specialization in computer vision or machine learning.
1 year of experience using deep learning techniques and 1-2 years of experience in general software development.
Experience working with deep learning frameworks (e.g., TensorFlow/Keras, PyTorch) including implementing custom layers.
At least an intermediate mastery of programming languages (C++ and Python).
Clear communication and team collaboration.
Strong software engineering background.
Nice-to-have:
Experience in the automotive industry a plus.
Familiarity with CI/CD.
Deploying models on diff hardware platforms.
Familiar with Agile methodologies (has worked with Git, Jira and alike).
Who are you?
You can work independently and brainstorm in a group in a fast-paced environment that changes rapidly.
Exhibit a positive, enthusiastic, open, entrepreneurial attitude and a willingness to work closely with other teams within Smart Eye.
Possess strong analytical and creative skills with an interest in new technologies.
Great communicator with fluency in English. Other languages are a merit.
About the company:
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.
Additional Information and Company Benefits:
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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