Description
As a Manager, Data Scientist at Capital One, you will lead the development of large-scale reinforcement learning-based recommender systems and arbitration engines. Your work will influence how millions of people discover, decide, and engage across financial and lifestyle experiences.
Key Responsibilities:
- Design and develop state-of-the-art recommender systems using transformers, large language models (LLMs), and reinforcement learning.
- Advance personalization through sequence modeling, multi-modal learning, and contextual decision-making.
- Build and fine-tune foundation models trained on large-scale customer interaction data.
- Apply reinforcement learning to optimize long-term user engagement and business outcomes.
- Collaborate with engineering and product teams to deploy scalable, production-grade, low-latency systems.
- Drive innovation in emerging areas such as generative recommendations, conversational systems, and cross-domain personalization.
Requirements:
- Strong background in machine learning, deep learning, and recommender systems.
- Hands-on experience with transformers, LLMs, or reinforcement learning.
- Experience working with large-scale datasets and distributed training.
- Solid programming skills in Python and modern ML frameworks (e.g., PyTorch, TensorFlow).
- Ability to translate research into impactful, real-world systems.
Ideal Candidate:
- Customer-focused with a passion for doing the right thing.
- Innovative with experience in evaluating emerging technologies.
- Creative problem-solver with strong analytical skills.
- Leadership experience with a focus on talent development.
- Technical expertise in open-source languages and cloud computing platforms.
Salary Range:
- Plano, TX: $179,400 - $204,700
- New York, NY: $215,200 - $245,600
- McLean, VA: $197,300 - $225,100
Benefits:
- Comprehensive health, financial, and other benefits supporting total well-being.