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Member of Technical Staff, Accelerator Systems
Optimize and port AI inference/training kernels (SGLang, Miles) across NVIDIA/AMD GPUs, TPUs, CPUs, and emerging accelerators to maximize performance on heterogeneous hardware.
Senior AI / Machine Learning Engineer
Build and deploy large-scale AI models (LLMs, diffusion, GNNs) for biomedical discovery, owning end-to-end training pipelines and distributed systems.

Member of Technical Staff - ML Infrastructure Engineer, Post-training
Build and scale the compute, scheduling, and data infrastructure that powers post-training research on in-house reinforcement learning environments for large language models.
Member of Technical Staff - Research
Research and build power-aware AI infrastructure systems that scale data centers sustainably using distributed computing and optimization techniques.
Engineering Group Manager- MLOps
Lead the MLOps platform for autonomous-driving teams, building scalable AWS/Kubernetes pipelines with Ray, Airflow, and MLflow to train and deploy perception models in safety-critical automotive systems.
AI/ML Ops Advanced Technical Leader
Lead the build and operation of MLOps platforms on AWS for autonomous-driving ML workloads, using Ray, Kubernetes, Airflow, and MLflow to ensure reproducible, traceable, and auditable pipelines.
Senior Machine Learning Engineer – Digital Intelligence
Build and deploy large language models for financial workflows, optimizing training and serving to improve agent efficiency and customer experience in banking systems.
Executive Director, Machine Learning & Gen AI Platforms (Home Lending)
Lead the architecture and delivery of ML and GenAI platforms for JPMorganChase’s Home Lending, turning prototypes into production systems and mentoring AI engineers.
Machine Learning Engineer – Digital Intelligence
Build and optimize large language models for financial services, focusing on LLM-based methods, training pipelines, and production deployment to improve customer workflows and agent efficiency.
Senior Deep Learning Sofware Infrastructure Engineer
Build and scale deep-learning infrastructure for autonomous-vehicle training, optimizing multi-thousand-GPU clusters, distributed training, and massive video datasets.
Senior Principal AI Engineer
Build and optimize distributed GPU training infrastructure for large neural networks, focusing on PyTorch, Megatron-LM, and DeepSpeed to maximize throughput and stability at scale.
MLOps Field Engineer
Design and deploy AI/ML infrastructures and MLOps solutions on Ubuntu, Kubernetes, and cloud platforms for global enterprises, using open-source tools like Kubeflow and MLFlow.
Cloud Platform Engineer
Build and maintain cloud-native AI/ML infrastructure on AWS/Azure/GCP, automate Kubernetes deployments, and implement MLOps pipelines for model serving and monitoring.
Senior Software Engineer/Developer AI (HUD)
A federal technology consulting company is seeking a Senior Principal Software Engineer/Developer - AI to join its team. The ideal candidate will have 12-15 years of software engineering experience and 8 years of…
Real-Time ML Engineer for Distributed Training & Inference
Build and optimize distributed ML training and real-time inference systems to accelerate trading strategies using GPU acceleration and open-source ML frameworks.
AI/ML Specialist Solutions Architect
Design and deploy scalable AI/ML solutions for customers, advising on distributed training and production-scale deployments while bridging technical and business needs.
Senior AI/ML Engineer
Build and operate ML infrastructure for a Payments ML platform, focusing on pipelines, training/inference systems, and MLOps tooling to scale AI use cases in payments.
