Machine Learning Engineer

Motorola Solutions
Los Angeles
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 4+ yearsEducation: bachelorsSkills: ["Communication","Teamwork"]

Develop machine learning solutions to enhance wireless communications, handling large-scale data from SDR sources and integrating ML algorithms across edge and data-center environments. Collaborate with UX designers, infrastructure engineers, and research scientists to prototype and deploy models, stay up-to-date with ML research for wireless systems, and contribute to mission-critical applications in a Los Angeles on-site team.

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Motorola Solutions
Motorola Solutions
2 months ago

Machine Learning Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 29 days agoStatus: Live
Reposted: similar role first listed 4 months ago

Job Summary

Develop machine learning solutions to enhance wireless communications, handling large-scale data from SDR sources and integrating ML algorithms across edge and data-center environments. Collaborate with UX designers, infrastructure engineers, and research scientists to prototype and deploy models, stay up-to-date with ML research for wireless systems, and contribute to mission-critical applications in a Los Angeles on-site team.
Location: Los Angeles
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Manage inputs gathered from unusual sources, including captures from software defined radio (SDR) over a wide range of RF signals
  • •Combine knowledge of signal processing, probability and statistics, machine learning, and modern methods of artificial intelligence to build large-scale and high-throughput systems handling vast quantities of data
  • •Collaborate with UX designers, infrastructure engineers, and other research scientists to develop prototypes and integrate ML algorithms that work across a wide range of scales from resource-constrained edge compute to full-sized data centers
  • •Stay current with the latest machine learning research for wireless and embedded systems, applying ingenuity and a deep understanding of the problems at hand

Key Requirements

  • •4+ years experience as a machine learning engineer
  • •Expert knowledge in Python and an ML framework such as PyTorch or TensorFlow
  • •Strong foundation in supervised and unsupervised learning and statistical modeling
  • •Strong mathematics background, particularly in linear algebra and probability
  • •Strong written and oral communication skills
Experience:4+ yearsAIMachine learningTelecommunications
Education:Bachelor's
Skills:CommunicationTeamwork
Tech Stack:PythonPyTorchTensorFlowSDRRadio frequencyRFLinuxDockerKubernetesAzureAWSSQLNoSQL

Eligibility

Nationality:US National

Company Brief

Motorola Solutions
Provides mission-critical communications products and services, including radios, software, video security, and command center solutions for public safety, government, and enterprise customers worldwide.
Industry: Surveillance & Security Hardware
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Chicago, United States
Founded: 1928
Glassdoor
Glassdoor: 3.7
WebsiteLinkedIn