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

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 developers (located in Chicago, Boston, Vancouver and Krakow) in the Chief Technology Office at Motorola Solutions working on developing 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, and Natural Language Understanding.

Our AI team is focused on all aspects of 1) Designing, prototyping and developing solutions (e.g. algorithms and architectures for language processing and human-computer interactions), 2) Machine learning training and optimization (e.g. distributed training and inference acceleration) and 3) Data (e.g. tools for data acquisition and annotation – both human and machine-powered, data pipelines and supporting ML infrastructure). And, of course, one of our many toolsets is the exploding field of Large Language Models and all of the engineering and scientific consequences of these exciting new technologies.

Your work will directly impact our customers in the form of products and services that make use of language and video technology. Unlike similar roles in the industry, the result of your work has the potential to impact the entire lifecycle of the public safety workflow impacting people's lives in moments that matter.

We’re excited about the work we are doing in AI. Founded on our many years of public safety experience and knowledge, we know the mission-critical needs of our customers are unique and different from the consumer technologies that leverage AI today.

Job Description

We are looking for a talented AI Software Engineer to join our Language & Audio team, where you will develop cutting-edge machine learning solutions for our public safety and commercial security customers. This is an opportunity to make a real impact on the world by building innovative technology that enhances safety and security.

Responsibilities

• Develop and implement machine learning models for applications such as speech-to-text interfaces, video captioning, natural language processing, summarization, and search over public-safety data.

• Participate in the entire machine learning lifecycle, including data curation, model training, deployment, monitoring, and feedback.

• Collaborate with infrastructure engineers and research scientists to build high-performing and reliable machine learning products.

• Develop reusable components and libraries to facilitate collaboration between research units and production engineers.

• Contribute to the continuous improvement of our machine learning systems through code reviews, documentation, and best practices.

Qualifications

• 1+ years of combined experience as a software developer and/or a post-graduate degree in a quantitative science or engineering field (e.g., Computer Science, Statistics, Mathematics).

• Proven experience using Python for software development projects.

• Hands-on experience contributing to Machine Learning projects, including model development, training, and evaluation.

• Strong written and oral communication skills in English.

Desired

• Experience with cloud platforms like AWS, Azure, or GCP.

• Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.

• Knowledge of natural language processing techniques and architectures.

• Experience working with large datasets and distributed computing environments.

Note: Candidate can reside anywhere in the US.

Salary Range: $105,000 USD - $116,000 USD

#LI-REMOTE

#LI-MP2

Basic Requirements

• Bachelors Degree with 0+ years of professional experience

• Legal authorization to work in the U.S. indefinitely is required. Employer work permit sponsorship is not available for this position. 

Travel Requirements

None

Relocation Provided

None

Position Type

Experienced

Referral Payment Plan

No

Our U.S. Benefits include:

• Incentive Bonus Plans
• Medical, Dental, Vision benefits
• 401K with Company Match
• 10 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. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic. 

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.

We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please email [email protected].