Ml Explainability Engineer Jobs

1 job found

1d ago

Capital One New York, NY

New York, NY

1d ago

$215k - $246k/yr Full time Artificial Intelligence Data Science Explainable Ai

Capital One is hiring an AI Engineer 4 for the Intelligent Foundations and Experiences (IFX) team in New York, NY (onsite).

Work with cross-functional partners across engineering, research science, technical program management, and product management to deliver AI-powered products
Design, develop, test, deploy, and support AI software components, including:
- Foundation model training
- LLM inference
- Agents and multi-agent workflows
- Similarity search and VectorDB-based retrieval
- Guardrails
- Model evaluation, experimentation, governance, and observability
Apply Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more
Develop state-of-the-art foundation model optimization techniques to improve production metrics including scalability, cost, latency, and throughput
Contribute to the technical vision and long-term roadmap for foundational AI systems at Capital One
Own end-to-end architecture for complex AI systems with a focus on maintainability, observability, and ethical alignment
Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift
Partner with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines
Lead cross-functional technical reviews for new AI deployments, ensuring security, data governance, and compliance standards are met
Mentor Principal and Senior Associates on scalable design, performance tuning, and research-to-production translation

Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 4+ years experience developing AI/ML algorithms or technologies
OR Master’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 2+ years experience developing AI/ML algorithms or technologies
4+ years programming experience with Python, Go, Scala, CUDA, or Java

Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)

Central to bringing Capital One’s AI vision to life
Collaborates across the company to advance science and AI engineering, and builds/deploys proprietary solutions that deliver value to millions of customers
Builds AI models and platforms enabling teams to enhance products with responsible and scalable AI

Experience leading development of AI systems with tradeoffs across cost, latency, throughput, and accuracy
6+ years deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure, or equivalent private cloud)
Experience designing, developing, delivering, and supporting AI services
Experience developing AI and ML algorithms or technologies (e.g., LLM inference, similarity search and VectorDBs, guardrails, memory) using Python, C++, C#, Java, CUDA, or Golang
Experience applying state-of-the-art techniques to optimize training and inference software for hardware utilization, latency, throughput, and cost
Experience building agentic AI systems and agentic workflows
Demonstrated ability to design distributed systems for model training, evaluation, and online inference at petabyte scale
Experience defining AI model governance processes, including producibility, lineage tracking, and automated retention schedules
Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms

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