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Lead the design and deployment of scalable MLOps pipelines on GCP using Vertex AI, Kubeflow, and Airflow to move ML models from concept to production.
Build and ship ML systems to detect fraud and protect Uber’s platform, using deep learning and optimization at scale.
Build and improve deep-learning models for spectroscopy-based AI that detects chick sex in eggs, iterating from research to robust deployment in noisy real-world settings.
Builds and maintains AI data infrastructure for Figure’s humanoid robotics, handling large-scale data pipelines, storage, and compute across on-prem and cloud environments.
Build and scale generative AI models (diffusion, multimodal) to power autonomous humanoid robots, training and deploying systems for perception, simulation, and reasoning.
Designs and advances core AI models for autonomous humanoid robots, focusing on perception, reasoning, and action using multimodal inputs like vision and language.
Build and train large-scale AI foundation models for humanoid robots using multimodal data (text, vision, robot experience) to enable real-world autonomy.
Develops reinforcement learning systems for autonomous humanoid robots, training policies in simulation and real-world environments to enable complex, long-horizon behaviors.
Designs and deploys AI models that let humanoid robots see and manipulate objects in the real world, using techniques like behavior cloning and reinforcement learning.
Develops large-scale video foundation models for humanoid robot autonomy by training on real-world and robot-collected video data to capture motion, interaction, and temporal structure.
Build real-time localization and mapping systems for humanoid robots using multi-sensor fusion (cameras, IMUs, encoders) and 3D geometry in C++.
Consultant designs and delivers Azure-based data and AI solutions for enterprise clients, building ETL pipelines, ML models, and GenAI workflows while aligning with Microsoft’s cloud strategy.
Develops advanced AI models for clinical simulations and drug development, focusing on transformers, foundation models, and biomedical data analysis to predict patient outcomes and optimize trial design.
Build and maintain open-source machine-learning tools for neuroscience research, using Python, PyTorch/TensorFlow, and UI frameworks to create reusable, well-documented software for the scientific community.
Lead end-to-end design and delivery of large-scale AI systems for federal programs, building Python-based LLM and generative AI solutions with cloud-native architectures and MLOps pipelines.
Build and deploy scalable LLM-powered backend systems using Python, FastAPI, and vector databases; implement MLOps pipelines, RAG architectures, and observability for GenAI applications.
Build and deploy ML models for vehicle telemetry and diagnostics, owning end-to-end pipelines from data to production to reduce fleet downtime and maintenance costs.
Graduate program role where you rotate through customer-facing teams, designing and demonstrating NVIDIA-powered AI solutions for industries like healthcare and automotive using platforms like CUDA-X and Omniverse.
Senior Memory System Architect at NVIDIA driving memory system architecture for SOCs in deep-learning, autonomous vehicles, and gaming; tasks include performance modeling, analyzing workloads, and optimizing memory subsystems (caches, DDR) using C++, Python.
Job Purpose The Senior Presales Solutions Architect is responsible for leading the technical presales lifecycle for opportunities involving digital solutions, enterprise platforms, microservices, artificial…
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