Senior Machine Learning Engineer

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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.Benefitsinclude:
  • Incentive Bonus Plans
  • Medical, Dental, VisionbenefitseffectiveDay 1
  • 401K with Company Match and Day 1 vesting
  • 9 Paid Holidays
  • GenerousPaidTime Off Packages
  • Employee Stock Purchase Plan
  • PaidParental & 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.


Chicago, IL
Somerville, MA
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