Top AI & Machine Learning Jobs

Leads the design, development, deployment, and support of foundational AI systems, including model training, LLM inference, similarity search, guardrails, evaluation, governance, experimentation, and observability. Develops optimization techniques to improve scalability, latency, throughput, hardware utilization, and cost. Partners with research, engineering, product, and program teams; contributes to technical vision; and mentors engineers while applying emerging AI research in production.

Conduct applied AI research and build foundation models across design, training, evaluation, validation, and production implementation. Partner with data scientists, software engineers, machine learning engineers, and product managers to deliver scalable AI products. Research emerging methods in areas such as LLMs, optimization, behavioral models, fine-tuning, and AI safety; develop platform or solution-level code; translate complex research into business outcomes; and independently pursue impactful research agendas.

The role involves designing, developing, and supporting AI software components, leveraging various AI technologies, and optimizing performance for large-scale AI systems.

The role involves architecting a scalable AI platform, building distributed compute solutions, optimizing technologies, and mentoring internal talent in AI and ML.

As a Senior Lead AI Engineer, you will develop AI solutions, partner with cross-functional teams, optimize LLM performance, and contribute to the AI vision at Capital One.

Review and audit machine learning models and model risk practices across the enterprise. Partner with cross-functional teams to design, train, evaluate, validate, and implement ML and NLP solutions, using tools like Python, Spark, H2O, and AWS. Translate technical findings into business recommendations and assurance for stakeholders and the Audit Committee, while researching and applying emerging Generative AI and state-of-the-art methods.

Design, build, deploy, and maintain production-scale ML models and pipelines. Collaborate with cross-functional Agile teams to implement cloud-based architectures, optimize model performance, automate CI/CD, and ensure model governance, monitoring, and responsible AI practices.

Conduct applied research and develop AI foundation models, including large language models and agentic AI systems. Responsibilities span model design, training, evaluation, validation, optimization, deployment, and scaling. The researcher collaborates with data scientists, engineers, and product managers to translate advanced AI research into customer-facing products, deliver platform and solution code, evaluate emerging methods, and independently pursue impactful research agendas.

Design, train, evaluate, and deploy large-scale AI foundation models (LLMs, vision, graph, sequential). Collaborate with cross-functional teams to productionize research, optimize training/inference, and translate research into customer-facing products. Drive applied research agenda, publish results, and contribute to platform and tooling.

The role involves developing and deploying AI-powered products, optimizing performance, and collaborating with cross-functional teams to advance AI technology at Capital One.