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Build reinforcement-learning environments and reward functions to train frontier AI models, blending research with engineering in a startup setting.
Build low-level reinforcement-learning environments targeting hardware kernels (GPU/accelerator, FPGA, vector ISAs) to stress-test frontier AI models and prevent reward hacking.
Build reinforcement-learning environments that teach LLMs to find, exploit, and patch vulnerabilities across codebases and binaries using fuzzers, sanitizers, and static analyzers.
Principal AI/ML Research Engineer leads applied research in generative AI, deep learning, and Transformers to build Payment Foundation Models for commerce and fintech challenges, driving novel architectures from prototype to production.
About us We are building AI systems that can reason, use tools, and complete meaningful work in the real world. Our team works across model post-training, reinforcement-learning infrastructure, large-scale training,…
Build and scale foundational large language models for Amazon’s shopping experiences, focusing on ML infrastructure, post-training, and reinforcement learning to improve personalization and customer interactions.
Build and optimize large language models for conversational AI assistants using GenAI techniques like fine-tuning and prompt optimization.
Build cloud-based, production-grade environments to train and evaluate AI models on distributed systems tasks using backend engineering and DevOps practices.
Build next-gen search ranking and recommendation systems using deep learning, transformers, and LLMs to personalize product discovery for retailers on a large-scale ecommerce platform.
Build AI/ML systems to optimize paid marketing, recommender engines, and LTV predictions for Faire’s wholesale ecommerce platform, leveraging LLMs and reinforcement learning.
Designs and deploys AI/ML models for cancer diagnostics and precision oncology, using deep learning and generative AI to analyze biological and clinical data.
Build and deploy advanced AI/ML models for cancer diagnostics and precision oncology using Python, TensorFlow/PyTorch, and generative AI techniques to analyze biological and clinical data.
Build and deploy AI-driven banking solutions like generative AI copilots and predictive models using Python, TensorFlow, and PyTorch.
Design, build, and deploy production-grade ML models and APIs while collaborating with global teams to integrate AI solutions into client workflows.
Build and deploy generative AI systems using LLMs, RAG, and agentic workflows; fine-tune models and evaluate performance for Qualcomm’s core AI products.
Research and develop efficient generative AI models (LLMs, multi-modal) for on-device deployment, focusing on reasoning, RAG, and Agentic AI.
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