Senior Inference Engineer, AGI

We are looking for a Senior Inference Engineer to own inference for real-time multimodalconversational AI. This is a full-stack inference role: you will work across the entire path a modeltakes from research Basic qualifications: - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - 2+ years of hands-on experience optimizing inference for neural models — not just using inference frameworks, but profiling and improving them - Strong understanding of deep learning architectures (transformers, attention mechanisms, autoregressive decoding) and their application to speech/audio or other multimodal domains - Production track record delivering latency-constrained, real-time inference systems under concurrent load - Experience with GPU performance optimization — memory hierarchy, occupancy, KV-cache management, and the accelerator programming model - Demonstrated ownership of a technical area — driving execution for a workstream and collaborating effectively across scientists and engineers Preferred: - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with production LLM/multimodal serving internals (e.g., vLLM, TensorRT-LLM): scheduler, batching, block manager, sampler customization - Hands-on experience building real-time or streaming AI systems — speech, audio, or video — with hard latency budgets - Experience authoring custom GPU kernels (CUTLASS, Triton, raw CUDA/PTX), fused attention (FlashAttention-style), or quantized GEMM - Familiarity with model-compression and efficiency techniques — quantization, pruning, distillation, speculative decoding, long-context optimization - Experience building offline inference or rollout/reward-serving infrastructure for reinforcement learning or large-scale evaluation - Experience with distributed training and post-training pipelines (SFT through RL) — parallelism strategies, training stability, and multi-accelerator communication (NCCL, NVLink) - Familiarity with multiple hardware backends (NVIDIA GPU, AWS Neuron/Trainium, edge accelerators) and how architecture choices affect inference latency, memory, and cost - Background in speech-to-speech or audio generative models (codec models, autoregressive audio generation), speech recognition, or speech synthesis - Experience shipping research to production at scale — models serving real users, not just benchmark results - Contributions to open-source inference/kernel projects (vLLM, CUTLASS, FlashAttention, TensorRT-LLM, Triton, or similar) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Sunnyvale - 192,200.00 - 260,000.00 USD annually USA, MA, Boston - 167,100.00 - 226,100.00 USD annually USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually