Algorithm Engineer
Listed on 2026-07-08
-
Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary Range: $ To $ Annually
Algorithm EngineerOriginAI, an ADT Company
Location:
HQ / Hybrid
Originisredefininghomesecuritywith Tru Shield ℠Security,ahardware-free,router-basedsolutionpoweredbyourexclusiveAISensing℠technology.
Tru Shieldgoesbeyondmotiondetectiontodeliver Verified Human Presence ℠,accuratelydistinguishingbetweenpeopleandnon-human activity.
Byleveragingexisting Wi Finetworksandconnecteddevices ,itdeliversawarenessacrossthehomewithoutcameras,wearables,oradditionalhardware,eliminatingfalsealarmsandelevatingprotection.
NowpartofADT,OriginstrengthensADT’spromiseoftrustedprotectionbyaddingreal-timeawarenessandcontextinsidethehome.
Wheneverysecondcounts,knowingwhatisactuallyhappening,notjustthatsomethinghappened,changes everything.
As an Algorithm Engineer at Origin, you will develop and evolve our suite of WiFi sensing algorithms that bring safety, security, and intelligence to homes and businesses worldwide. You will be part of a cross-functional product development team, working closely with engineering and product stakeholders to design, evaluate, and deploy algorithms on edge devices such as routers and IoT systems. You will take a product-driven, experiment-oriented approach to improving system performance – identifying opportunities, exploring solution spaces, and iterating across different parts of the system, from algorithms to overall system behavior.
You will support verification and validation efforts, collaborate on testing and deployment with B2B partners, and contribute to translating product requirements into measurable algorithm improvements. This role offers the opportunity to have a direct impact on the performance and evolution of Origin’s WiFi sensing offerings.
- Developandcontinuouslyimprovealgorithmsfor Wi Fisensingapplications
- Design and conduct experiments to evaluate and refine new algorithms and methodologies, working in coordination with engineering and product stakeholders
- Proactively identify and drive opportunities to improve product performance and WiFi Sensing capabilities, navigating trade-offs between algorithm design and production constraints through prototyping, implementation, and performance analysis
- Develop,train,andvalidatemachinelearning(ML) modelsforourAIbased Wi Fisensingapplications ,primarilyinMATLABand Python
- ApplystatisticalandMLtechniquestolarge-scaledatasetsgeneratedby
Wi Fisensingsystemstoimproveproductperformanceanddevelopnewfeatures - Collaboratively develop data collection, labeling, and testing protocols to validate algorithm performance and production readiness against company milestones and KPIs
- Collaboratewithembeddedsystemsengineersondeploymentofthealgorithms/improvementstoroutersand
IoTdevices,includingoptimizationofalgorithmmemoryandcomputationalrequirements - Activelyparticipateinknowledgesharingandcontributetoacultureofinnovationandexcellencewithintheorganization
- MSorPh.D.in Computer
Science,Electrical Engineering,Data Science,orarelatedfield(ora Bachelor'sdegreewithdemonstratedalgorithmdevelopmentexperience) - Experience in signal processing, algorithm development, and applied ML/AI in product development teams, with hands-on experience in MATLAB and Python
- Foundation in statistics, machine learning, and deep learning, with experience in model training, evaluation, and performance characterization
- Youthinkbeyondimplementation–proactivelyquestionassumptions,exploringdesigntrade-offs,anddrivingideasthroughexperimentstosolveproductlevelproblems
- You take a hypothesis-driven approach to problem-solving, comfortable working with loosely defined problems and iterating toward practical solutions
- Havestrongwrittenandverbalcommunicationskillswithateam-first mindset
- Youthriveinan Agileenvironmentandarecomfortablewithevolvingpriorities,anditerativedevelopment
- Demonstrated experience developing and delivering algorithm prototypes and proofs of concept in a product development environment, and delivering against defined timelines and performance targets
- Familiarity with RF systems, signal processing, IEEE 802.11, and digital communications
- SomeexperiencewithC/C++,Linux,shellscriptandfamiliaritywithembeddeddevelopm…
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