Research Engineer Intern at Motorola Solutions
If you are a current Motorola Solutions employee, please click this link to apply through your Workday account.Company Overview
At Motorola Solutions, we create technologies our customers refer to as their lifeline. Our technology platforms in communications, software, video and services help our customers work safely and more efficiently. Whether it’s helping firefighters see through smoke, enabling police officers to see around street corners, or reliably keeping the lights on in homes and businesses around the world, our work supports those who put their lives on the line to keep us safe. Bring your passion, potential and talents to Motorola Solutions, and help us usher in a new era in public safety and security.
Department OverviewMotorola Solutions’ innovations, products and services play essential roles in people’s lives. Our end-to-end suite of software solutions helps our customers answer thousands of emergency calls and text messages, and process video, disparate evidence and records. We are also proud to be industry leaders in video security solutions installed in more than 120 countries at thousands of customer sites, including school campuses, transportation systems, healthcare centers, public venues, critical infrastructure, prisons, factories, casinos, airports, financial institutions, government facilities, and retailers.
Our products leverage cutting edge voice technology, language models, natural language understanding, video analytics, and Machine Learning to enable our customers to focus on what matters while providing faster responses, safer outcomes and greater transparency. The candidate will join a talented team of scientists and engineers (located in Chicago, Boston, Vancouver and Krakow, Poland) in the Chief Technology Office at Motorola Solutions working on developing mission-critical AI solutions for our public safety and commercial customers. Our mission is to provide meaningful value to MSI’s customers by developing domain-specific applications and services in the areas of Speech & Audio, Machine Translation, Natural Language Understanding and Computer Vision.
Our AI team is focused on all aspects of 1) designing, prototyping and developing solutions (e.g. algorithms and architectures for object detection, classification etc.), 2) Machine Learning training and optimization (distributed training and inference acceleration) and 3) data (tools for data acquisition, annotation – both human and machine-powered, data pipelines and supporting ML infrastructure). We’re excited about the work we are doing in AI. We often describe it as “Mission Critical AI” because our approach is founded on our many years of Public Safety and Video Security experience and knowledge. We know the mission-critical needs of our customers are unique and different from the most consumer technologies that leverage AI today.
Develop and implement Computer Vision and Machine Learning algorithms for video surveillance solutions.
Train and evaluate Deep Learning object detection algorithms including license plate detection and recognition models.
Create and analyze the data for Deep Learning object detection including license plate detection.
Apply computational projective geometry and numerical optimization methods for camera calibration.
Evaluate the algorithms and tune the parameters to maximize the performance.
Test the algorithms on PC and smart cameras. Identify test cases and develop unit tests for the algorithms.
Background in Machine Learning and Computer Vision as well as experience using Deep Learning frameworks such as PyTorch or TensorFlow
Strong mathematical background: familiarity with linear algebra, probability theory, optimization and statistics
Experience with Python or C++
Hands-on experience in Computer Vision and Machine Learning projects
Ability to read, understand and present the latest publications
Must currently be pursuing a degree with a graduation date on or after December 2021
Referral Payment PlanYes
Motorola Solutions is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran's status, or, any other protected characteristic.