[Remote] Software Engineer 5 – Model Runtime, AI Platform

Note: The job is a remote job and is open to candidates in USA. Netflix is the world's leading streaming entertainment service, with a mission to entertain the world. They are seeking a Software Engineer to join the Model Runtime team, responsible for building and optimizing ML infrastructure that supports Netflix's critical machine learning models.ResponsibilitiesBuild alignment and post-training infrastructure — Design infrastructure for reinforcement learning (GRPO, DPO, PPO), reward modeling, and preference optimization so Netflix can train recommendation models directly against what members actually valueEnable next-generation GenAI workloads — Create infrastructure for multimodal and diffusion models, including distributed training, disaggregated serving, real-time, near-real-time and batch inference, and asynchronous GPU pipelinesScale distributed training — Engineer fault-tolerant training systems using FSDP, tensor/pipeline/context parallelism, and mixed-precision strategies across clusters of hundreds of GPUsOptimize across the full stack — Profile and tune from PyTorch operators down to GPU kernels, driving utilization improvements and building cost models that inform infrastructure strategyEvaluate emerging hardware and frameworks — Be the team's eyes on specialized accelerators, next-gen NVIDIA silicon, and the open-source ecosystem to keep Netflix at the efficiency frontierSkillsExperience in ML systems engineering — building infrastructure for training, fine-tuning, or inference of pre-LLM and post-LLM era models at scaleStrong systems programming skills with the ability to work across multiple layers of the stack, from high-level ML frameworks down to GPU kernels and memory managementHands-on experience with PyTorch internals, large-scale distributed training and system-model codesignComfortable with ambiguity and working across multiple business and technical domains to execute on both 0-to-1 and 1-to-100 projectsAdopt and promote best practices in operations, including observability, logging, reporting, and on-call processes to ensure engineering excellenceExperience with cloud computing providers, preferably AWSExcellent written and verbal communication skillsStrong communication skills; effective across distributed time zones and remote environmentsDeep experience with distributed training at scale (FSDP, parallelism strategies, checkpointing) or LLM post-training (SFT, RLHF, DPO/GRPO)Inference optimization — vLLM, TensorRT, quantization, continuous batching, KV-cache managementGPU performance profiling and tuning (CUDA, NCCL, Nsight, PyTorch profiler)Experience with multimodal or diffusion model architectures and generation pipelinesTrack record building reusable ML libraries or contributing to open-source ML projectsBenefitsHealth PlansMental Health supportA 401(k) Retirement Plan with employer matchStock Option ProgramDisability ProgramsHealth Savings and Flexible Spending AccountsFamily-forming benefitsLife and Serious Injury BenefitsPaid leave of absence programsFull-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time offFull-time salaried employees are immediately entitled to flexible time offCompany OverviewNetflix is an online streaming platform that enables users to watch TV shows and movies. It was founded in 1997, and is headquartered in Los Gatos, California, USA, with a workforce of 10001+ employees. Its website is https://www.netflix.com.Company H1B SponsorshipNetflix has a track record of offering H1B sponsorships, with 65 in 2026, 310 in 2025, 309 in 2024, 191 in 2023, 261 in 2022, 268 in 2021, 225 in 2020. Please note that this does not guarantee sponsorship for this specific role.