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Machine Learning Engineer

Motorola Solutions
Los Angeles, CA
On-siteUSD 150,000 - 180,000 / year

About this role

About the Role Join Silvus Technologies, a Motorola Solutions subsidiary, to develop machine learning solutions that enhance performance in wireless communications. Your work will directly impact customers through products and services that leverage signal processing, with the potential to influence the entire lifecycle of workflows in moments that matter. What You'll Do

  • 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 AI methods to build large-scale, 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 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 What We're Looking For
  • 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 Nice to Have
  • Advanced degree in a quantitative field such as electrical and computer engineering, physics, mathematics or statistics
  • Familiarity with relational and NoSQL databases
  • Familiarity with RF signal processing and SDR for signals intelligence or electronic warfare
  • Familiarity with cloud-based infrastructure: Azure and/or AWS
  • Experience tracking projects with Jira, Azure DevOps or similar tooling
  • Experience with Linux, DevOps (command line)
  • Experience with containerized infrastructure (Docker, Kubernetes)
  • Familiarity with regulated environments, such as sovereign clouds Compensation & Benefits
  • Salary range: Target Base Salary Range: $150,000 USD - $180,000 USD
  • Benefits and perks: Incentive Bonus Plans; Medical, Dental, Vision benefits; 401K with Company Match; 10 Paid Holidays; Generous Paid Time Off; Employee Stock Purchase Plan; Paid Parental & Family Leave; and more.
  • Note: This role is 100% on-site in our Los Angeles office.

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