{"id":161660,"url":"https://alion.io/job/motorola-solutions-machine-learning-engineer-2","title":"Machine Learning Engineer","company":{"id":1504,"name":"Motorola Solutions","domain":"motorolasolutions.com","url":"https://alion.io/company/motorola-solutions","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":171,"ghost_share":0,"stale_share":0.608,"repost_share":0.018,"time_to_fill_p50_days":36,"computed_at":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Los Angeles, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":180000,"currency":"USD","period":"year","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"TensorFlow","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Azure DevOps","optional":true},{"name":"Docker","optional":true},{"name":"Jira","optional":true},{"name":"Kubernetes","optional":true},{"name":"Linux","optional":true}],"status":"live","first_seen_at":"2026-08-27T00:00:00Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-10-24T05:54:39Z","board_verified":true,"closed_at":null,"days_open":59,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":59},"description":"Company Overview\nAt Motorola Solutions, we believe that everything starts with our people. We’re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. We build and connect technologies to help protect people, property and places. Our solutions foster the collaboration that’s critical for safer communities, safer schools, safer hospitals, safer businesses, and ultimately, safer nations. Connect with a career that matters, and help us build a safer future.\nDepartment Overview\nSilvus Technologies is dedicated to one mission: connecting those who keep us safe. We do so by delivering the most advanced Mobile Ad-hoc Network (MANET) radios powered by our custom and ever evolving Mobile-Networked MIMO waveform. Together, our radios and waveform provide vital communications for mission-critical applications in the harshest environments from underground tunnels to high-altitude balloons.Silvus StreamCaster™ radios are being rapidly adopted by customers all over the world ranging from the U.S. and Allied Nations Departments of Defense to International, Federal, State, and Local Law Enforcement agencies, all the way to the Superbowl, Grammys, and industry-leading drone, robot, and unmanned systems manufacturers.\nWe’re excited about the work we are doing in AI. Founded on our many years of experience and knowledge, we know the mission-critical needs of our customers are unique and different from the consumer technologies that leverage AI today.\nSilvus Technologies is a wholly owned subsidiary of Motorola Solutions, Inc.\nJob Description\nWould you like to join a talented group of people, doing challenging work, with the mission of “Keeping Our Heroes Connected”?\nYou will join the Signals and Systems group where you will be developing machine learning solutions that enhance performance in wireless communication systems. Your work will directly impact our customers in the form of products and services that make use of signal processing technology. Unlike similar roles in the industry, the result of your work has the potential to impact the entire lifecycle of the workflows impacting people's lives in moments that matter.\nRoles and Responsibilities\nManage inputs gathered from unusual sources, including captures from software defined radio (SDR) over a wide range of RF signals\n\nCombine 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\n\nCollaborate 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\n\nStay current with the latest machine learning research for wireless and embedded systems, applying ingenuity and a deep understanding of the problems at hand\n\nRequired Skills\n4+ years experience as a machine learning engineer\n\nExpert knowledge in Python and an ML framework such as PyTorch or TensorFlow\n\nExperience with RF signal processing and SDR for signals intelligence or electronic warfare\n\nStrong foundation in supervised and unsupervised learning and statistical modeling\n\nStrong mathematics background, particularly in linear algebra and probability\n\nStrong written and oral communication skills\n\n Desired Skills\nAdvanced degree in a quantitative field such as electrical and computer engineering, physics, mathematics or statistics\n\nFamiliarity with relational and NoSQL databases\n\nFamiliarity with cloud-based infrastructure: Azure and/or AWS\n\nExperience tracking projects with Jira, Azure DevOps or similar tooling\n\nExperience with Linux, DevOps (command line)\n\nExperience with containerized infrastructure (Docker, Kubernetes)\n\nFamiliarity with regulated environments, such as sovereign clouds\n\nFamiliarity with regulated environments, such as sovereign clouds\nTarget Base Salary Range: $150,000 USD - $180,000 USD\nConsistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.\nAs a part of the application process, we encourage you to include a link to code you’ve written.\nNote: This role is 100% on-site in our Los Angeles office.\nBasic Requirements\nBachelor degree with 4+ years experience as a machine learning engineer\n\nAND 2+ years of Python and PyTorch or TensorFlow experience\n\nAND 2+ years of experience with RF signal processing\n\nMust be a U.S. citizen with the ability to obtain necessary security clearance as required by government contract.\n\nTravel Requirements\nNoneRelocation Provided\nNonePosition Type\nExperiencedReferral Payment Plan\nNoOur U.S. Benefits include:\nIncentive Bonus Plans\n\nMedical, Dental, Vision benefits\n\n401K with Company Match\n\n10 Paid Holidays\n\nGenerous Paid Time Off Packages\n\nEmployee Stock Purchase Plan\n\nPaid Parental & Family Leave\n\nand more!\n\nEEO Statement\nMotorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.\nWe are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.\nWe’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. 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