, to developing algorithms and models that power both internal systems and customer-facing products. Lyft Business builds products..., optimization algorithms, and ranking/decision systems that power core product and platform capabilities. Own the end-to-end...
generation models, and/or graph neural network models for real-world use cases 6+ years of proven experience with cloud... at scale 2+ years of demonstrated experience working with large language models (LLMs), text generation models, and/or graph...
, TensorFlow), vector databases, and/or graph data. Knowledge of lifecycle of data science products from design to delivery... Artificial Intelligence (AI), Collaboration, Communication, Deep Learning Algorithms, Generative AI, Machine Learning (ML...
description, architectural & algorithms design and the refinement of functional and non-functional requirements. Designs, codes, debugs, write... etc.) Understanding of the Graph theory...
understanding of coding and algorithms and are keen to develop best practices as you go. You're comfortable seeking guidance, yet..., embeddings, graph workflows, prompt engineering. Strong proficiency in UI/UX design elements for AI native interactions...
– everything from data pre-processing to implementing machine learning algorithms and front-end development. At RBC Borealis, you’ll... on the best solutions; Optimizing algorithms and prototypical solutions for efficient implementation; Extending...
in machine learning algorithms (regression, clustering), Deep Neural Networks (DNNs), statistical modeling, time-series analysis.... Familiarity with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes). Knowledge of Graph Neural Networks (GNNs...
→ training → deployment) Develop, implement, document and optimize machine learning algorithms, fine-tuning LLMs, pipelines... and curiosity Passion for staying ahead in the fast-moving AI space Specializations Time-series forecasting Graph Neural...
is a plus; solid CS fundamentals: algorithms & data structures, operating systems, computer architecture, parallel programming..., TorchDynamo/Inductor, MLIR/LLVM, XLA), GPU libraries (e.g., CUTLASS) and features (e.g., CUDA Graph, Tensor Cores). Experience...
tokenization, entity recognition, topic modeling, and semantic search. Experience with knowledge graph construction and querying.... Apply clustering algorithms and semantic similarity models to detect duplicates and contradictions. Integrate AI frameworks...
across multiple asset classes. Develop algorithms for exception handling, break resolution, and automated reconciliation processes... initiatives focused on emerging technologies including large language models, graph neural networks, and quantum computing...
AI techniques — Transformers, LLM fine-tuning, (Graph) RAG, and Vector Databases. Deep understanding of Large Language Models... (LLMs) and their application in agentic reasoning and automation. Strong foundation in algorithms, data structures...