Motorola Solutions
We help people be their best in the moments that matter.
Hybrid

Machine Learning Engineer (Speech & Audio)

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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
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 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 engineers (located in Chicago, Boston, Vancouver and Krakow, Poland) 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 passionate and talented machine learning engineer with a particular interest in working on speech and audio technology. As part of our Speech & Audio team 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. This role requires skills in working with both science and engineering tools and environments to train models and realize them in working demonstrations and production.

More specifically this involves:

  • Implementing and improving our audio pipelines for training, inference and evaluation.

  • Developing modeling tools, training recipes and prototypes utilizing programming skills in Python.

  • Conducting experiments to assess the quality of speech recognition and natural language processing models and to study the effectiveness of different modeling techniques.

  • Analyzing field data in order to identify areas of possible improvement or enhancement of the system.

  • Presenting and discussing ideas and results within the team and with internal stakeholders (product/project management, engineering etc.).

  • Writing technical documentation.

As part of the team, you will implement and optimize novel machine learning algorithms for sound classification, speech recognition and audio context understanding. Our team is involved in the entire machine learning life cycle – from data collection, model development to inference and deployment, bringing with it unique opportunities to develop new holistic ideas in the domain and deliver a better experience for our customers.

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.

Required Skills:

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

  • Strong scripting and programming skills in Python

  • Computer Science fundamentals in algorithm design, complexity analysis, data structures, problem solving and diagnosis

  • Experience with Unix/Linux and basic knowledge of networking fundamentals

  • Experience with Docker and/or Kubernetes deployments

  • Good analytical and problem solving skills

  • Dependable written and oral communication skills (English)

Desired Skills:

  • Experience (industry or academic) in building speech recognition and natural language processing systems. Knowledge in audio digital signal processing and speech processing.

  • Be an avid programmer, with extensive expertise in Python or C/C++

  • Practical experience implementing Machine Learning systems (specific experience with deep learning and using Tensorflow and/or PyTorch and/or Kaldi would be a plus)

  • Activity in the Open Source community is a strong plus


Basic Requirements

Graduate degree (Masters or PhD) in Computer Science, Engineering or a relevant field plus 1+ years of experience

Vaccine Requirement

Motorola Solutions is a U.S. Federal contractor and must comply with the recent U.S. Government Executive Order requiring that Federal contractors ensure that their U.S. employees are fully vaccinated against COVID-19 by January 4, 2022. Accordingly, Motorola Solutions requires all US employees, even those working from home, to be fully vaccinated unless entitled to a reasonable accommodation based on a qualified medical condition or religious belief.

If you are unable to be fully vaccinated due to a qualified medical condition or religious belief, you will be required to apply for a reasonable accommodation prior to moving forward with the recruitment process. As a part of this process you will be required to provide information or documentation about the reason you cannot be vaccinated. If your request for an accommodation is not approved, an offer for employment will not be made.


Travel Requirements
None
Relocation Provided
None
Position Type
Experienced
Referral Payment Plan
Yes

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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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!

Culture
Volunteer in local community
Partners with nonprofits
Open door policy
OKR operational model
Team based strategic planning
Open office floor plan
Remote work program
Our remote work program includes telecommuting at Manager discretion.
Diversity
Dedicated diversity and inclusion staff
Highly diverse management team
Mandated unconscious bias training
Diversity employee resource groups
Hiring practices that promote diversity
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability insurance
Dental insurance
Vision insurance
Health insurance
Life insurance
Pet insurance
Mental health benefits
Financial & Retirement
401(K)
401(K) matching
Employee stock purchase plan
Performance bonus
Charitable contribution matching
Child Care & Parental Leave Benefits
Childcare benefits
Generous parental leave
Family medical leave
Adoption Assistance
Vacation & Time Off Benefits
Unlimited vacation policy
Generous PTO
Paid holidays
Office Perks
Commuter benefits
Free snacks and drinks
Company-sponsored happy hours
Onsite office parking
Relocation assistance
Onsite gym
Professional Development Benefits
Job training & conferences
Tuition reimbursement
Lunch and learns
Promote from within
Mentorship program
Continuing education available during work hours
Online course subscriptions available
Paid industry certifications

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