Software Engineering - Software Engineer III

AR/VR Research ScientistThe Team is a world-class group of researchers, developers, and engineers dedicated to creating the future of virtual and augmented reality. Our work focuses on developing technologies for AR glasses, including optics, computer vision, audio, graphics, and more. The RLR Audio team is particularly focused on redefining human hearing and developing auditory machine intelligence to enhance human connection and communication.Location: Onsite – Redmond, WASalary Range: $93.33/hourly on W2Required Skills & Qualifications:BS degree in Computer Science, Computer Engineering, Electrical Engineering, or related field, or equivalent work experienceIndustry experience optimizing and running ML inference on embedded or resource-constrained devicesExperience training ML models using deep learning frameworks such as PyTorch or TensorFlow2 years of industry experience writing C/C++Experience profiling and debugging performance issues across the ML model and the target hardwareExperience working in cross-functional teamsPrior work experience at client or in client's IndustryApplicants must be able to work directly for Artech on W2Preferred Skills & Qualifications:Experience with ML for audio (e.g. speech enhancement, source separation, keyword spotting, acoustic event detection)Experience with ML for computer vision (e.g. detection, tracking, segmentation, pose estimation)Experience with audio DSP fundamentals (e.g. filtering, STFT/filterbanks, beamforming, real-time audio processing)Experience with on-device inference frameworks and toolchains (e.g. ExecuTorch, TFLite/LiteRT, ONNX Runtime, vendor NPU/DSP SDKs)Experience with model compression techniques such as quantization-aware training, post-training quantization, pruning, or distillationExperience writing hardware-specific optimizations (e.g. SIMD/NEON, DSP intrinsics, fixed-point arithmetic)Experience working in the AR/VR or wearable device spaceAbility to gather requirements and work closely with researchers to develop novel solutionsHistory of writing code to support the execution of research initiativesDay-to-Day Responsibilities:Work side by side with research scientists to take ML models from research prototypes to efficient, real-time inference on embedded devicesTrain, fine-tune, and adapt ML models with deployment constraints (latency, memory, power, compute) in mindOptimize models for on-device inference using techniques such as quantization, pruning, distillation, operator fusion, and architecture adjustmentsPort, integrate, and profile ML models on embedded targets (e.g. DSPs, NPUs, microcontrollers, mobile SoCs), identifying and resolving performance bottlenecksWrite clean, maintainable, high-performance C/C++ code for on-device inference pipelines and integrate it into real-time prototype systemsBuild tools and infrastructure that make it faster for researchers to evaluate model performance and accuracy on target hardwareCoordinate with internal hardware, runtime, and toolchain teams across Reality Labs and Meta to evaluate and integrate with existing systemsWork collaboratively as part of a multifunctional team where communication, documentation, and teamwork are highly valuedLearn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR/VR problem solvingCompany Benefits & Culture:Encourages a strong sense of ownership and embraces the ambiguity that comes with working on the frontiers of researchFosters an honest and considerate environment where self-motivated individuals thriveSupports continuous learning and exploration of new technologies