Machine Learning Engineer - 2024 Spring Co-op

Company Overview

If you think you are the right match for the following opportunity, apply after reading the complete description.

At Motorola Solutions, we're guided by a shared purpose - helping people be their best in the moments that matter - and we're living 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 - safer communities, safer schools, safer hospitals, safer businesses - safer everywhere.

We're building integrated technologies that help protect people, property and places. We're connecting public safety agencies and enterprises - enabling the collaboration that's critical for a more proactive approach to safety and security.

We're committed to solving for safer every day because 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.

Job Description

Responsibilities :

• Implement Machine Learning and Computer Vision algorithms in C++ under the supervision of senior members of the team.
• Evaluate Machine Learning and Computer Vision algorithms such as object detection, classification and tracking.
• Develop and maintain Python scripts for performance visualization and evaluation of the algorithms.
• Train and evaluate Deep Learning models such as object detectors and classifiers.

Required Skills :

• Senior year for undergraduate or master students in Machine Learning, Computer Science, Electrical Engineering or a relevant field.
• Solid programming, debugging and problem solving skills.
• 1+ years of experience in C++.
• Familiarity with Object Oriented design, common design patterns, and data structures.

Desired Skills :

• Hands-on experience in developing, deploying, and improving Computer Vision and Machine Learning models and algorithms.
• Knowledge in image processing, object detection, classification and tracking.
• Proficiency in C++ and Python.

Basic Requirements :

• High School Diploma required
• Must be pursuing a minimum of a Bachelor's degree (Computer Science, Software Engineering, Computer Engineering, Information Technology or other Engineering or Technical degree)
• Must have a graduation date of May 2024 or later.

Travel Requirements :

None

Relocation Provided :

None

Position Type : Intern

Intern

Referral Payment Plan :

Our U.S. Benefits include :

• Incentive Bonus Plans
• Medical, Dental, Vision benefits
• 401K with Company Match
• 9 Paid Holidays
• Generous Paid Time Off Packages
• Employee Stock Purchase Plan
• Paid Parental & Family Leave
• and more!

EEO Statement : 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.

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