Applied Researcher II (AI Foundations)
Capital One · Cambridge, MA · 2 wk ago
Analyst$263k–$300k/yrFull-time
About the role
The AI Foundations team at Capital One is central to realizing our vision of applying cutting-edge AI to transform customer experiences. This role involves working closely with a diverse team of data scientists, software engineers, machine learning engineers, and product managers to develop AI-powered products that enhance customer interactions.
Responsibilities
- Partner with a cross-functional team to deliver AI-powered products that redefine how customers engage with their finances.
- Leverage a wide array of technologies including PyTorch, AWS UltraClusters, Huggingface, Lightning, and Vector Databases to uncover insights from vast datasets.
- Build AI foundation models across all stages of development, from initial design to deployment.
- Engage in impactful applied research to advance AI capabilities and integrate them into innovative customer experiences.
- Communicate complex technical concepts to stakeholders to align on business goals and priorities.
Requirements
- Currently pursuing or recently obtained a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, or a Master's degree with 4+ years of relevant experience.
- Experience with open-source tools and cloud computing platforms.
- Deep understanding of AI methodologies and foundational algorithms.
- Experience with large-scale deep learning model training and optimization.
- Track record of delivering AI solutions at scale.
- Knowledge of transfer learning, model adaptation, and model guidance.
Qualifications
- PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering, or related fields.
- Exceptional research publications in deep learning theory, optimization, and transfer learning.
- Experience in training large language models (10B+ parameters, 500B+ tokens).
- Expertise in areas such as model sparsification, quantization, training parallelism, gradient checkpointing, and model compression.
- Strong track record of developing and deploying large-scale AI models.
- Experience with compiler design and deep learning algorithmic design.
- Knowledge of transfer learning, model adaptation, and model guidance.
Skills
- Strong programming skills in Python, R, or equivalent.
- Experience with deep learning frameworks like PyTorch, TensorFlow, or others.
- Understanding of natural language processing (NLP) and its applications.
- Ability to communicate complex technical concepts to non-technical stakeholders.
Benefits
Capital One offers a comprehensive benefits package that includes:
- Health, dental, and vision insurance
- Retirement savings plans
- Flexible spending accounts
- Employee assistance programs
- Professional development opportunities
Pay
Salaries for this role range from $262,500 to $326,800 annually, depending on location. Performance-based incentives may also be offered.
Schedule
This role is full-time and permanent.