Algorithm Developer IV

Algorithm Developer / Machine Learning EngineerLocation & CompensationLocation: Redmond, WAWork Arrangement: Hybrid, approximately 3 days onsite per week as neededPay Rate: $91/hourExperience Level: Entry to Mid-LevelYears of Experience: 1-6 yearsEducation: Bachelor's degree in Computer Science, Mathematics, Engineering, or related field required/preferred; Master's degree preferredPlain-Language SummaryThis role sits on the Sensors & Systems Team, which develops prototypes using sensor data, machine learning, and hardware platforms. The team works on collecting data from sensors, training machine learning models, optimizing performance, and deploying those models onto hardware devices.This Is An Applied Machine Learning Role That CombinesMachine LearningDeep LearningAlgorithm DevelopmentPython DevelopmentHardware DeploymentEmbedded SystemsSensor Data ProcessingRobotics PrototypingThe ideal candidate has hands-on experience developing ML algorithms, training deep learning models, and deploying solutions onto hardware platforms.What They'll Be DoingCore ResponsibilitiesTrain and optimize machine learning and hybrid AI pipelines for hardware deployment.Develop advanced deep learning algorithms and techniques.Design, implement, and test machine learning models.Build statistical models to analyze workload and system performance.Convert business and customer requirements into algorithm designs.Troubleshoot software and algorithm-related issues.Improve software and model performance.Deploy machine learning algorithms to hardware platforms.Work with sensor-generated data to support prototype development.Collaborate with teams developing sensors, wired systems, and robotics solutions.Must-Have QualificationsTechnical SkillsPythonMachine Learning AlgorithmsDeep Learning experiencePyTorch and/or TensorFlowAlgorithm development experienceExperience training, testing, and optimizing ML modelsUnderstanding of AI-assisted development tools such as:ChatGPTClaudeAbility to work independently and manage projects autonomouslyEducationBachelor's degree in Computer Science, Mathematics, Engineering, or related fieldMaster's degree preferredPreferred QualificationsEmbedded Systems ExperienceRaspberry PiNVIDIA JetsonFPGA platformsHardware & Deployment ExperienceDeploying machine learning models to edge devicesHardware optimizationFirmware deploymentAdditional Technical SkillsC++Object-Oriented ProgrammingARM CPU/NPU architectureFirmware understandingPerformance optimization#INDPRO