Senior Machine Learning Engineer (Somerville, MA Hybrid)
Motorola SolutionsAbout the role
Company Overview
At Motorola Solutions, we're guided by a shared purpose - helping people be their best in the moments that matter - and we live up to our purpose every day by solving for safer. Because people can only be their best when they not only feel safe, but are safe. We're solving for safer by building the best possible technologies across every part of our safety and security ecosystem. That's mission-critical communications devices and networks, AI-powered video security & access control and the ability to unite voice, video and data in a single command center view. We're solving for safer by connecting public safety agencies and enterprises, enabling the collaboration that's critical to connect those in need with those who can help. The work we do here matters.
Department Overview
Motorola 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 (algorithms and architectures for object detection and tracking, 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.
Job Description
We are seeking a skilled and motivated Machine Learning Engineer to join our team. In this role, you will be responsible for designing, implementing, evaluating and maintaining cutting-edge Computer Vision and Machine Learning algorithms, with a focus on object detection and tracking. You will be writing C++ code for real-time embedded Linux devices, servers, and the cloud, ensuring the delivery of high-quality, production-ready software.
Key Responsibilities:
Design, implement, evaluate and maintain Computer Vision and Machine Learning algorithms, including object detection and tracking.
Write C++ code for real-time embedded Linux devices, servers and the cloud
Work with research scientists and software engineers to bring the algorithms and technologies to commercial deployments.
Design, develop and maintain tools for building and testing the Deep Learning and Computer Vision solutions.
Review code of peers for adherence to coding standards and design guidelines.
Write technical documentations that are detailing algorithm designs and reporting experimental results.
Required Skills:
Advanced degree (PhD preferred) in Computer Science, Computer Engineering, Electrical Engineering, or a relevant field.
Proficiency in C++ and Python, with familiarity with Linux.
Knowledge of image and video processing, including object detection, classification, and tracking.
Strong analytical and problem-solving skills.
Dependable written and oral communication skills in English.
Desired Skills:
Hands-on experienc
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