Machine Learning Engineer

Overview In this role you will develop machine learning solutions that enhance wireless communication performance within the Signals and Systems group. You will process inputs from software defined radio across RF signals to build scalable ML-enabled pipelines. You will collaborate with UX, infrastructure engineers, and other researchers to prototype and deploy ML across edge to data center scales. You will stay current with ML research in wireless and embedded systems, delivering impact for mission-critical applications. Compensation / BenefitsIncentive Bonus PlansMedical, Dental, Vision benefits401K with Company Match10 Paid HolidaysGenerous Paid Time OffEmployee Stock Purchase Plan ResponsibilitiesManage inputs from unusual sources, including SDR across a wide range of RF signalsIntegrate signal processing, probability and statistics, ML and AI methods to build large-scale, high-throughput data systemsCollaborate with UX designers, infrastructure engineers, and other researchers to develop prototypes and integrate ML across scales from edge to data centersStay current with the latest ML research for wireless and embedded systems, applying it to real problems Key requirements4+ years experience as a machine learning engineerExpert knowledge in Python and an ML framework such as PyTorch or TensorFlowExperience with RF signal processing and SDR for signals intelligence or electronic warfareStrong foundation in supervised and unsupervised learning and statistical modelingStrong mathematics background, particularly in linear algebra and probabilityStrong written and oral communication skillsBachelor degreeStrong written and oral communication skillsCollaboration with cross-functional teamsCuriosity and ability to stay updated with researchPythonPyTorch or TensorFlowRF signal processing