Machine Learning Engineer
Motorola Solutions•Los Angeles, CA
•$150,000 - $180,000•Onsite
About The Position
This role is within the Signals and Systems group, focusing on developing machine learning solutions to enhance performance in wireless communication systems. The work directly impacts customers through products and services utilizing signal processing technology, with the potential to influence workflows that affect people's lives in critical moments. The position is with Silvus Technologies, a wholly owned subsidiary of Motorola Solutions, Inc., specializing in Mobile Ad-hoc Network (MANET) radios and waveforms for mission-critical applications.
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
- Bachelor degree with 4+ years experience as a machine learning engineer AND 2+ years of Python and PyTorch or TensorFlow experience
- Must be a U.S. citizen with the ability to obtain necessary security clearance as required by government contract.
Nice To Haves
- 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
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
Benefits
- Incentive Bonus Plans
- Medical, Dental, Vision benefits
- 401K with Company Match
- 10 Paid Holidays
- Generous Paid Time Off Packages
- Employee Stock Purchase Plan
- Paid Parental & Family Leave
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
