AI Data Engineer (Chicago Hybrid)

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 machine learning and AI technologies 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 worldwide 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

Join our team to become a cornerstone of Artificial Intelligence development and lead our efforts in creating one of the most critical pieces of data science and machine learning workflow — the datasets for training and testing!  

Collaborating with our engineering and product organizations, helping to define data specifications, developing and optimizing processes and utilizing our tools and automation are key tenets of this role.

This role will help determine data needs, approaches for data acquisition and annotation, drive data conversion, and help build tools to improve efficiency of the entire data lifecycle.  A successful candidate will have high attention to detail and an appreciation for data integrity.  Commitment to data accuracy is critical as is the desire to automate out identified inefficiencies.

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.

Scope of Responsibilities / Expectations

• Own the data annotation pipeline, ensuring quality of ground truth annotations

• Gather, mine, and process raw, structured, semi-structured, and unstructured data 

• Work effectively with key stakeholders to identify concrete requirements for tactical data needs, including data processing and data conversion

• Coordinate with 3rd party vendors for outsourced annotation tasks; includes the identification and communication of observed error trends

• Define, develop, and optimize annotation requirements and job design through anticipating potential failure modes, analyzing edge cases, and detecting anomalies

• Provide quality assurance on in-house and external data annotations

• Ensure data integrity through quality review and validating results against requirements

• Present annotation proposals, identify data conversion needs and implement solutions

• Develop technical and process documentation for data conversion

• Insightful analytics and recommendations to improve data quality and process workflows

• Implement tools and solutions aimed towards automation and auditing

Requirements:

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