Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning)

Discover Financial
Cambridge, New York, San Jose
Workplace: OnsiteFull timeUSD 218,700 - 249,600 annuallyFunction: Research & Scientific (R&D)Education: phdSkills: ["Research","Evaluation","Innovation","Problem-solving","Stakeholder collaboration","Technical communication"]

Build and evaluate AI foundation models that power next-generation customer experiences. Partner with data scientists, software and machine learning engineers, and product managers to take research into production across design, training, validation, and implementation. Use tools like PyTorch, AWS Ultraclusters, Hugging Face, Lightning, and vector databases to uncover insights from large-scale data, with hands-on expertise in LLM fine-tuning and reinforcement learning methods such as RLHF.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Discover Financial
Discover Financial
1 month ago

Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Build and evaluate AI foundation models that power next-generation customer experiences. Partner with data scientists, software and machine learning engineers, and product managers to take research into production across design, training, validation, and implementation. Use tools like PyTorch, AWS Ultraclusters, Hugging Face, Lightning, and vector databases to uncover insights from large-scale data, with hands-on expertise in LLM fine-tuning and reinforcement learning methods such as RLHF.
Location: Cambridge, New York, San Jose
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Entry level

Key Responsibilities

  • •Partner with cross-functional teams to deliver AI-powered products that improve how customers interact with their money.
  • •Leverage a broad technology stack to analyze large volumes of numeric and textual data.
  • •Build AI foundation models through the full development lifecycle, including design, training, evaluation, validation, and implementation.
  • •Conduct high-impact applied research to translate state-of-the-art AI advances into next-generation customer experiences.
  • •Translate research complexity into tangible business goals through effective interpersonal communication.

Pay and Benefits

Salary: USD 218,700 - 249,600 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 in a related field plus 2 years of experience).
  • •Hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms.
  • •Deep understanding of foundations of AI methodologies and experience building large deep learning models (e.g., training optimization, self-supervised learning, robustness, explainability, RLHF).
  • •Experience delivering models at scale across training data and inference volumes, including engineering mindset and platform/solution-level code to existing products.
  • •Ability to own and pursue a research agenda, choosing impactful problems and carrying out long-running projects.
Education:PhD / Doctorate
Skills:ResearchEvaluationInnovationProblem-solvingStakeholder collaborationTechnical communication
Tech Stack:PyTorchAWS UltraclustersHugging FaceLightningVectorDBs

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Discover Financial
Provides consumer banking products, credit cards, personal loans, and payment services through the Discover brand. It operates a major U.S. financial network and serves individuals and merchants with lending and digital payment solutions.
Industry: Retail Banking
Company Size: Enterprise (1,001+ employees)
Revenue: USD 10M to 25M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Riverwoods, United States
Founded: 1985
WebsiteLinkedIn