Motorola Solutions
We help people be their best in the moments that matter.
Chicago, IL

Senior Machine Learning Engineer at Motorola Solutions (Chicago, IL)

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Company Overview

Motorola Solutions is there for our customers when everything is on the line. In extreme moments — when a hurricane lands or when a fire breaks out. And in everyday moments — when a package arrives just in time for the holiday or when a child doesn’t miss the school bus home. 

We unify voice, data, video and analytics in one integrated ecosystem to enable individuals, businesses and communities to work together in more powerful ways. To help people make better decisions, act confidently and be their best in the moments that matter. Bring your passion, potential and talents to Motorola Solutions and connect with a career that matters.

Department Overview
On any given day, every moment matters to someone, somewhere. And in every moment, Motorola Solutions’ innovations, products and services play essential roles in people’s lives. We help firefighters see and communicate in buildings and police officers see around street corners. We keep utility workers connected and visible to each other with real-time voice and data communication across the smart grid. And we provide the situational awareness first responders need when a moment brings catastrophe. We are also defining the future of the security industry through innovative end-to-end-solutions that leverage AI. We help people be their best in their moments that matter.
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. You will join a talented team of scientists and engineers as part of the Motorola Solutions AI Team working on developing mission-critical AI solutions for our public safety and commercial customers.
Job Description

We are looking for a passionate and talented Senior Machine Learning Engineer to join our Speech & Audio team within the Chief Technology Office, where you will participate in cutting-edge artificial intelligence (AI) research and product development. You will work alongside scientists and engineers to implement, deploy, and maintain systems that will directly impact users in the public safety and commercial domains in the form of products and services that make use of speech and audio technology. 

As part of the team, you will implement, optimize, and help deploy novel machine learning algorithms applied to sound classification, speech recognition and audio context understanding. You will be involved in the entire machine learning life cycle – from data collection, model development to inference and deployment.


  • Performing duties in all areas of development (data collection, model training and evaluation, deployment and scaling, real world testing and validation).

  • Applying your understanding of algorithms in collaboration with Research Scientists to containerize and implement them at scale.

  • Designing new and improving existing pipelines for training, inference and evaluation.

  • Interfacing with multi-disciplinary product teams.

  • Leveraging your leadership skills as you drive complex projects to completion with minimal supervision.

Required Skills:

  • Graduate degree (Masters or PhD) in Computer Science, Engineering or a relevant field.

  • 4+ years industry experience working as a Machine Learning Engineer or Software Engineer with relevant products and services.

  • Expert knowledge of Python and containerized infrastructures (Docker and/or Kubernetes).

  • Practical experience implementing Machine Learning systems at scale (Tensorflow, PyTorch, and/or Kaldi preferred).

Desired Skills:

  • Experience in building speech recognition and/or natural language processing systems. 

  • Knowledge in audio digital signal processing and speech processing is a plus.

  • Familiarity with the following: distributed in-memory computing technologies (Redis), Azure DevOps, Elasticsearch, RESTful architectures, Node.js, CUDA programming, deep learning model compression and inference optimization, distributed systems, Apache Kafka (or similar streaming platforms).

Basic Requirements
  • Graduate degree (Masters or PhD) in Computer Science, Engineering or a relevant field.

  • 4+ years industry experience working as a Machine Learning Engineer or Software Engineer with relevant products and services.

Vaccine Requirement

Motorola Solutions has implemented a voluntary COVID-19 vaccination policy. We strongly encourage all employees to be fully vaccinated. Any employee who is not vaccinated must wear a mask at all times when at a Motorola Solutions site or otherwise meeting with other Motorola Solutions employees or customers. Employees who have submitted proof of vaccination must follow site-specific or local mask requirements. Additionally, certain local governments or Motorola Solutions' customers may have vaccine requirements that apply to some of our employees.

Travel Requirements
Relocation Provided
Position Type
Referral Payment Plan

Our U.S. Benefits include:

  • Incentive Bonus Plans
  • Medical, Dental, Vision benefits effective Day 1
  • 401K with Company Match and Day 1 vesting
  • 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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Where we are

Located in the West Loop, one block from Ogilvie Train Station and Union Train Station. The office is also close to multiple CTA stops.

Technology we use

  • Engineering
  • Product
  • Sales & Marketing
    • .NETLanguages
    • C#Languages
    • C++Languages
    • GolangLanguages
    • JavaLanguages
    • JavascriptLanguages
    • PerlLanguages
    • PythonLanguages
    • RLanguages
    • RubyLanguages
    • SqlLanguages
    • ReactLibraries
    • ReduxLibraries
    • AngularJSFrameworks
    • ASP.NETFrameworks
    • DjangoFrameworks
    • Node.jsFrameworks
    • Ruby on RailsFrameworks
    • ITILFrameworks
    • Google AnalyticsAnalytics
    • TableauAnalytics
    • IllustratorDesign
    • InVisionDesign
    • PhotoshopDesign
    • SketchDesign
    • JIRAManagement
    • Microsoft ProjectManagement
    • SmartsheetManagement
    • SalesforceCRM
    • GoogleEmail
    • MarketoLead Gen
    • Oracle EloquaLead Gen

What are Motorola Solutions Perks + Benefits

Motorola Solutions Benefits Overview

Our U.S. Benefits include:
- Incentive Bonus Plans
- Medical, Dental, Vision benefits effective Day 1
- 401K with Company Match and Day 1 vesting
- 9 Paid Holidays
- Generous Paid Time Off Packages
- Employee Stock Purchase Plan
- Paid Parental & Family Leave
- and more!

Volunteer in local community
Partners with Nonprofits
Friends outside of work
Eat lunch together
Intracompany committees
Open door policy
Team owned deliverables
Team based strategic planning
Group brainstorming sessions
Open office floor plan
Dedicated Diversity/Inclusion Staff
Highly diverse management team
Unconscious bias training
Diversity manifesto
Diversity Employee Resource Groups
Hiring Practices that Promote Diversity
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Pet Insurance
Mental Health Benefits
Retirement & Stock Options Benefits
401(K) Matching
Employee Stock Purchase Plan
Performance Bonus
Match charitable contributions
Child Care & Parental Leave Benefits
Generous Parental Leave
Remote Work Program
Our remote work program includes telecommuting at Manager discretion.
Family Medical Leave
Adoption Assistance
Vacation & Time Off Benefits
Unlimited Vacation Policy
Paid Holidays
Perks & Discounts
Casual Dress
Commuter Benefits
Game Room
Stocked Kitchen
Happy Hours
Relocation Assistance
Professional Development Benefits
Job Training & Conferences
Tuition Reimbursement
Diversity Program
Lunch and learns
Cross functional training encouraged
Promote from within
Mentorship program
Time allotted for learning
Online course subscriptions available
Paid industry certifications

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