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Design and build AI/ML models to solve real-world problems, using Python and frameworks like PyTorch or TensorFlow, while collaborating in a hybrid office setup.
Build and deploy LLM- and SLM-powered agentic systems for healthcare decisioning, including clinical reasoning, prior authorization, and claims integrity, using frameworks like LangGraph and LangChain.
Build and integrate AI tools to boost developer productivity at a quantitative trading firm, working with Python, C++, and modern AI workflows.
Lead the architecture of Lyra’s AI/ML platform, designing scalable generative-AI systems, RAG pipelines, and guardrails for mental-health care delivery.
Build and deploy AI agents (LLM-based) to automate customer-support workflows using NLP tools like LangChain, RAG, and fine-tuning.
Build and deploy AI-powered features like RAG systems and LLM integrations for revenue teams, focusing on production-ready AI applications and user experience.
Chunking and ingestion architecture with deterministic, validation-gated pipelines handling diverse enterprise document types with indexing and contextual enrichment Retrieval pipeline with vector search, BM25 hybrid…
Build and deploy AI productivity tools for developers, researchers, and teams at a quantitative trading firm, integrating cutting-edge AI into workflows and internal systems.
Design and advise on large-scale generative AI and agentic architectures for AWS customers, leveraging LLMs, RAG, and agent frameworks while producing technical content to drive adoption.
Builds and maintains the data pipelines and infrastructure that power RoboForce's AI robotics models, handling everything from raw teleoperation data to post-training reinforcement learning loops.
Leads Apple’s ML/NLP team to develop and scale agentic workflows for personalized writing tools, summarization, and keyboard features (autocorrection, proofreading) across all Apple platforms and languages, bridging cutting-edge AI research with real-world product experiences.
Part-time student role building data miners and vision-language models to detect road-rule violations in autonomous-vehicle simulation and fleet data using Python, PySpark, and LLM/VLM pipelines.
Leads AI engineering projects at DeepMind, designing and optimizing large-scale ML systems for production deployment and evaluation.
Build and deploy ML systems and LLM-powered features end-to-end, owning architecture, evaluation, and production pipelines for Qogita’s AI products.
Lead applied ML and LLM teams to build ranking, personalization, and curation systems that shape Gametime’s event-discovery experience.
Lead AI teams to design, build, and deploy production-grade RAG, agentic, and LLM-powered systems with robust evaluation, MLOps, and scalable infrastructure.
Build enterprise-grade AI infrastructure primitives—tenancy, auth, billing, and data-residency—so large companies can safely run Fireworks' models in production.
Build robotics foundation models that learn from human behavior and generalize across robot bodies, using multimodal data and imitation learning.
Develop AI models that translate human motion and interaction data into robotic actions using multimodal foundation models and cross-embodiment learning.
Sales Engineer designs AI/ML architectures for clients, scopes engagements, and translates business problems into technical solutions, specializing in GenAI systems like RAG and agentic workflows.
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