Capital One
Capital One
Capital One este o companie de servicii financiare și tehnologie financiară care oferă carduri de credit, împrumuturi auto, produse bancare și produse de economisire. Activitatea sa combină expertiza financiară cu tehnologia și instrumentele digitale pentru a îmbunătăți modul în care clienții își gestionează banii. Carierele din cadrul companiei se concentrează pe dezvoltarea unor soluții orientate către clienți, într-o forță de muncă diversă și incluzivă.

Senior AI Engineer, Generative AI Platforms — Capital One, San Francisco (On-site)

Build scalable generative AI platforms for Capital One banking products, from foundation models to inference systems. Improve model performance, governance, and cloud infrastructure.

Descriere

  • Work with engineering, research, program, and product teams to deliver AI-powered products.
  • Build and support AI components spanning foundation model training, LLM inference, agent workflows, similarity search, guardrails, evaluation, governance, and observability.
  • Use open-source and SaaS AI tools such as AWS Ultraclusters, Hugging Face, vector databases, and PyTorch.
  • Develop foundation model optimizations that improve scalability, cost, latency, and throughput.
  • Shape the technical vision and long-term roadmap for foundational AI systems.
  • Own architecture for complex AI systems, with a focus on maintainability, observability, and ethical alignment.
  • Set and maintain AI reliability SLOs for latency, uptime, and model performance drift.
  • Work with infrastructure engineers to improve GPU and TPU utilization and speed up inference pipelines.
  • Lead deployment reviews to address security, data governance, and compliance.
  • Mentor Principal and Senior Associates in scalable design, performance tuning, and moving research into production.

Cerințe

  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field and at least 4 years developing AI or ML algorithms or technologies; alternatively, a master's degree in one of these fields and at least 2 years of such experience.
  • At least 4 years of programming experience with Python, Go, Scala, CUDA, or Java.
  • Experience leading AI system development and making tradeoffs among cost, latency, throughput, and accuracy.
  • At least 6 years deploying scalable, responsible AI solutions on cloud platforms.
  • Experience designing, developing, delivering, and supporting AI services.
  • Experience developing AI or ML algorithms or technologies with Python, C++, C#, Java, CUDA, or Golang.
  • Experience optimizing training and inference software for hardware utilization, latency, throughput, and cost.
  • Experience building agentic AI systems and workflows.
  • Proficiency designing distributed systems for model training, evaluation, and online inference at petabyte scale.
  • Experience defining AI model governance processes, including producibility, lineage tracking, and automated retraining schedules.
  • Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms.
  • Interest in tracking AI research and applying new techniques in production.

Beneficii

  • Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives.
  • Comprehensive, competitive, inclusive health, financial, and other benefits supporting overall well-being.
  • Consideration for employment authorization sponsorship for a new qualified applicant.
  • Reasonable accommodations for applicants who need them.

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