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Develop cofolding and structure-aware ML models for drug discovery, training models on proteins, ligands, and experimental data using contrastive and representation-learning techniques.
Designs and optimizes AI/ML and HPC solutions for banking clients using NVIDIA GPUs, TensorFlow/PyTorch, and cloud/on-prem deployments.
Research and build AI-driven robotic systems for industrial automation using vision-language-action models, reinforcement learning, and sim-to-real transfer.
Build and ship AI models for Berlitz’s online learning platform, focusing on speech, text, and computer vision to deliver real-time speaking practice, conversation, and feedback.
Research and develop AI models for physical robots, training vision-language-action systems and reinforcement-learning policies to perceive, reason, and act in the real world.
Designs and advises on scalable AI/ML cloud solutions for enterprise customers, focusing on distributed training and production deployments using PyTorch, Kubernetes, and related tooling.
Research and build large-scale machine learning models for physical AI systems, focusing on robotics, reinforcement learning, and multimodal models to enable intelligent agents to interact with the real world.
Build and deploy core ML components for an AI-native assistant, working on data pipelines, model fine-tuning, and production systems using Python, PyTorch/JAX, and GPU infrastructure.
Build agentic AI systems that plan and act in real materials-discovery workflows, integrating PyTorch/JAX models with lab robots and experiments.
Design and deploy scalable AI/ML solutions for customers, advising on distributed training and production-scale deployments while collaborating with engineering teams.
Build and maintain backend services in Java/Spring for healthcare apps like mySugr, working with AWS, PostgreSQL, and agile teams to deliver clean, secure code for mobile apps.
Design and implement generative AI and machine learning solutions for AWS customers, focusing on Amazon Bedrock, SageMaker, and agentic AI workflows.
Build and optimize deep-learning inference pipelines for LLMs on AWS’s custom Inferentia/Trainium chips, integrating PyTorch/JAX with the Neuron SDK to maximize throughput and latency.
Builds and maintains enterprise retail systems in Java/Spring, designs scalable APIs, and mentors teams through full SDLC cycles.
Develops advanced AI/ML models for early cancer detection using blood-based molecular signals, collaborating with biologists and engineers in a hybrid Brisbane, CA role.
Build and ship ML-based features for Apple, focusing on training pipelines, inference infrastructure, and on-device model optimization for foundation models and multimodal systems.
Develops and deploys mission-critical systems using C++/Python, Kubernetes, and GPU tech, ensuring smooth operation of sensitive communications for government clients.
Build and deploy enterprise LLM applications, RAG systems, and AI agents using open-source models (DeepSeek, Qwen, Kimi) and frameworks like LangChain and vLLM.
Builds and optimizes 3D perception models that fuse camera, LiDAR, and radar inputs for autonomous trucks using PyTorch/TensorFlow.
Design and deploy AI agents that autonomously retrieve, synthesize, and reason over biomedical data to accelerate drug discovery and therapeutic development.
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