Discover Financial

1 week ago

Applied Researcher I (AI Foundations)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Work on the AI Foundations team to deliver AI-powered products for banking customers. Partner with data scientists, machine learning engineers, software engineers, and product managers to build AI foundation models across design, training, evaluation, validation, and implementation. Apply state-of-the-art methods to large-scale deep learning and produce solutions using tools such as PyTorch, AWS Ultraclusters, Hugging Face, Lightning, and vector databases, translating complex work into tangible business goals.

Location: New York, Cambridge, San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Entry level

Key Responsibilities

•Partner with cross-functional teams of data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products for customers.
•Leverage a broad technology stack (PyTorch, AWS Ultraclusters, Hugging Face, Lightning, VectorDBs) to extract insights from large numeric and textual datasets.
•Build AI foundation models across the full development lifecycle, including design, training, evaluation, validation, and implementation.
•Conduct high-impact applied research by taking state-of-the-art AI developments into next-generation customer experiences.
•Translate the complexity of research and model work into tangible business goals.

Pay and Benefits

Salary: USD 238,600 - 272,300 annually

Key Requirements

•Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields (or an MS plus 2 years of Applied Research by the scheduled start date).
•Hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.
•Deep understanding of AI methodology foundations and experience building large deep learning models across domains such as language, images, events, or graphs.
•Expertise in one or more topics including training optimization, self-supervised learning, robustness, explainability, or RLHF.
•Track record delivering models at scale for both training data and inference volumes, including experience delivering code for existing products.

Experience:2+ years

Education:PhD / Doctorate in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics (or related fields)

Skills:Translating complexityInterpersonal communicationResearch mindsetInnovationCollaboration

Tech Stack:PyTorchAWSHuggingfaceLightningVectorDBsLLMsNLP

Company Brief

Discover Financial

Industry: Retail Banking

Website

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Discover Financial

1 week ago

Applied Researcher I (AI Foundations)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: New York, Cambridge, San Jose

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Entry level

Key Responsibilities

•Partner with cross-functional teams of data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered products for customers.
•Leverage a broad technology stack (PyTorch, AWS Ultraclusters, Hugging Face, Lightning, VectorDBs) to extract insights from large numeric and textual datasets.
•Build AI foundation models across the full development lifecycle, including design, training, evaluation, validation, and implementation.
•Conduct high-impact applied research by taking state-of-the-art AI developments into next-generation customer experiences.
•Translate the complexity of research and model work into tangible business goals.

Pay and Benefits

Salary: USD 238,600 - 272,300 annually

Key Requirements

•Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields (or an MS plus 2 years of Applied Research by the scheduled start date).
•Hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.
•Deep understanding of AI methodology foundations and experience building large deep learning models across domains such as language, images, events, or graphs.
•Expertise in one or more topics including training optimization, self-supervised learning, robustness, explainability, or RLHF.
•Track record delivering models at scale for both training data and inference volumes, including experience delivering code for existing products.

Experience:2+ years

Education:PhD / Doctorate in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics (or related fields)

Skills:Translating complexityInterpersonal communicationResearch mindsetInnovationCollaboration

Tech Stack:PyTorchAWSHuggingfaceLightningVectorDBsLLMsNLP

Company Brief

Discover Financial

Industry: Retail Banking

Website