About this role
Applied Researcher I within AI Foundations focuses on building and pushing forward AI capabilities across LLM customization, fine-tuning, and reinforcement learning for Capital One.
Key Responsibilities
- Partner with data scientists and engineers to deliver AI-powered products; Leverage PyTorch, Huggingface, and VectorDBs to build foundation models; Engage in applied research to push latest AI developments; Translate research into business goals; Communicate findings to stakeholders
Technical Overview
Hands-on with PyTorch, Huggingface, VectorDBs, and AWS Ultraclusters; focus on foundation models, LLM inference, finetuning, and RLHF; strong ties to production-ready tooling.
Ideal Candidate
The ideal candidate is an early-career or mid-level applied researcher with a PhD or Masters plus 2+ years of experience, strong foundation in AI/ML and NLP, and a track record of applying research to production-ready tools.
Must-Have Skills
Bachelor's degree in Computer ScienceAIElectrical EngineeringComputer Engineeringor related fieldsAt least 6 years programming with PythonGoScalaor JavaAt least 6 years of experience developing AI and ML algorithms or technologiesAt least 4 years of experience developing AI and ML algorithms or technologies with a Master's degree
Nice-to-Have Skills
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWSGoogle CloudAzureor equivalent private cloud)Experience designingdevelopingintegratingdeliveringand supporting complex AI systemsDemonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholdersExperience developing AI and ML algorithms or technologies (e.g. LLM InferenceSimilarity Search and VectorDBsGuardrailsMemory) using PythonC++C#Javaor GolangExperience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilizationlatencythroughputand costExcellent communication and presentation skills
Tools & Platforms
PytorchHuggingfaceVectorDBsNemo GuardrailsAWS Ultraclusters
Required Skills
PythonPyTorchHuggingfaceVectorDBsfoundation modelsLLM inferencedata sciencePyTorch LightningAWS UltraclustersNLPreinforcement learning
Hard Skills
PythonGoScalaJavaPyTorchHuggingfaceVectorDBsNemo GuardrailsAWS Ultraclustersfoundation model trainingLLM inferenceguardrailsobservabilitymodel evaluationexperimentationgovernance
Soft Skills
communicationleadershipteam collaborationproblem-solving
Keywords for Your Resume
Applied Researcher IAI FoundationsLLM CustomizationFinetuningReinforcement LearningPythonPytorchHuggingfaceLightningVectorDBsAWS Ultraclustersfoundation modelsLLM inferenceguardrailsmodel trainingdata scienceresearchproductionobservabilityPyTorchLLMPytorch Lightning
Deal Breakers
Lack of hands-on experience with large language models, No track record of applied research or publications, No experience with production ML or cloud deployments
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