below marketmost similar roles pay hereabove market
This role pays more than
80%
of similar roles. Most pay
$197,893–$230,400
— the blue band above.
At the midpoint, this role pays about
$234k
versus about
$214k
for comparable roles.
Based on 240 similar postings.
Employer
About Capital One Financial
Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking
Capital One Financial currently has
2229 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 1126 roles with salary data.
The Applied Researcher 4 (AI Foundations, VLM Customization) joins the AI Foundations team to develop trustworthy and reliable artificial intelligence systems. This role involves partnering with cross-functional teams of data scientists, software engineers, and product managers to build AI foundation models through all phases of development, including design, training, evaluation, validation, and implementation. You will leverage a technology stack including Pytorch, AWS Ultraclusters, Huggingface, and Lightning to extract insights from large volumes of numeric and textual data. Key responsibilities include conducting high-impact applied research, translating complex technical work into business goals, and preparing internal reports or conference submissions. The work focuses on pushing state-of-the-art AI developments into production systems to improve customer experiences and solve complex problems involving large deep learning models.
Build AI foundation models through all phases of development including design, training, evaluation, and implementation.
Leverage technologies like PyTorch, AWS Ultraclusters, and Huggingface to extract insights from large numeric and textual datasets.
Conduct high-impact applied research to integrate the latest AI developments into next-generation customer experiences.
Develop and deliver AI-powered products in partnership with data scientists, software engineers, and product managers.
Translate complex technical research into tangible business goals for stakeholders.
Prepare internal technical reports or conference submissions summarizing novel methods and research findings.
Own and pursue a research agenda by identifying impactful problems and autonomously carrying out long-running projects.
What we're looking for
Must have a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or a related field.
Must have an M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or a related field plus 2 years of experience in Applied Research.
Must have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.
Must have experience building large deep learning models for language, images, events, or graphs.
Must have expertise in training optimization, self-supervised learning, robustness, explainability, or RLHF.
Must have a track record of delivering models at scale in terms of training data and inference volumes.
Must have experience delivering libraries, platform-level code, or solution-level code to existing products.
Must have a track record of producing high-quality machine learning ideas, such as first-author publications (preferred).
Pytorch
AWS
Huggingface
Lightning
LLM
NLP
Deep Learning
RLHF
Quantization
Model Sparsification
Training Parallelism
Supervised Finetuning
Instruction-Tuning
Transfer Learning
Tokenization