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 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. Making sense of all this data and building solutions that provide insights that potentially help save lives could be your job. Our software products leverage cutting edge voice technology, language models, natural language understanding 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 data scientists and engineers 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

We are looking for a machine learning engineer with a particular interest in working on machine learning data infrastructure (local and cloud) and data pipelines with an emphasis on media (audio and video). You will support our data science and engineering teams and be responsible for our local and cloud infrastructure, working with our team to train and deploy machine-learning algorithms as well as our product teams and customers to help us secure datasets for analysis. In this role, you will develop machine learning software that will have a significant impact on MSI’s machine learning product portfolio. Your software will run in a scaled-out environment that utilizes a variety of accelerator technologies including, but not limited to GPUs and FPGAs.

In this role you will collaborate and communicate closely with our data scientists to identify, propose and build infrastructure, large-scale data and computation pipelines, data storage strategy, common libraries and useful tools needed to optimize research and development of machine learning solutions.

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 experience and knowledge. We know the mission-critical needs of our customers are unique and different from the consumer technologies that leverage AI today.

Desired Skills:

• Master’s degree in Computer Science, Engineering or a relevant field

• Proficiency with a compiled programming language (C, C++, Go etc.)

• Experience with Docker and/or Kubernetes would be a huge plus

• Knowledge of applied machine learning, expertise with GPU acceleration of machine learning algorithms in OpenCL, C++ AMP or CUDA

Basic Requirements

• Bachelor’s degree in Computer Science, Engineering or a relevant field

• Strong scripting and engineering skills in Python and proficiency in using query languages such as SQL

• Familiarity with Linux, DevOps, and Azure/AWS tools (command line) and basic knowledge of networking fundamentals

• Familiarity with one or more machine learning frameworks (Tensorflow, PyTorch)

Travel Requirements

None

Relocation Provided

None

Position Type

Experienced

Referral Payment Plan

Yes

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.