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Applied Researcher I (AI Foundations)

SpringCube

Full-time - Senior Engineer

Banking & Financial Services

United States, San Francisco - California

Published 3 weeks ago

Salary: Disclosed upon interview

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Job Description

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A leading financial services organization is advancing trustworthy and reliable AI systems to transform banking. The company leverages cutting-edge machine learning to deliver real-time, intelligent customer experiences, ranging from fraud detection to automated query resolution. The organization invests in world-class applied science and engineering teams, building scalable AI infrastructure and innovative products that redefine how customers interact with financial services.

Overview
The Applied Researcher I (AI Foundations) will contribute to foundational AI research and development, building large-scale AI models and integrating them into impactful products. The role involves collaboration across data science, machine learning engineering, and product teams to create next-generation AI-powered experiences.

Responsibilities

  • Partner with cross-functional teams of data scientists, software engineers, machine learning engineers, and product managers to deliver AI-powered solutions
  • Utilize technologies including PyTorch, AWS Ultraclusters, Huggingface, Lightning, and VectorDBs to analyze large-scale numeric and textual datasets
  • Design, train, evaluate, validate, and implement AI foundation models
  • Conduct applied research to translate the latest AI advancements into tangible customer experiences
  • Communicate complex technical work effectively to non-technical stakeholders
  • Define and pursue a research agenda with autonomy, focusing on impactful AI problems

Qualifications

Basic Qualifications

  • PhD (or in progress, to be completed before start date) in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields; or M.S. in these fields plus 2 years of applied research experience

Preferred Qualifications

  • PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering, or related fields
  • LLM or NLP focus, or 5+ years of industrial NLP research experience
  • Experience with large language model pre-training (10B+ parameters, 500B+ tokens)
  • Publications in deep learning, AI foundations, ACL, NAACL, EMNLP, NeurIPS, ICML, or ICLR
  • Expertise in optimization, model sparsification, quantization, parallelism, gradient checkpointing, or model compression
  • Proven track record of delivering large-scale models to production environments
  • Strong foundation in AI methodologies, self-supervised learning, robustness, explainability, RLHF, and training optimization
  • Experience developing AI libraries, platform-level, or solution-level code

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in globally.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.

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SpringCube Tech Jobs Pte Ltd
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    International Plaza
    Singapore 079903
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