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Company

Original Job Post

Capital One · 1 week ago

Sr Distinguished Engineer, Generative AI Systems

Plano, TX

Full-time

Remote

Senior Level

$272K/yr - $311K/yr

9+ years exp

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Comp. & Benefits

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Responsibilities

Design and build fault-tolerant infrastructure for large-scale training tasks using containers and check-pointing libraries.

Build infrastructure for serving large ML models in the public cloud.

Deploy training clusters optimizing storage and networking stack in the public cloud.

Implement benchmarks to measure software systems performance within AI capabilities.

Develop applications leveraging LLMs and FMs.

Design and implement capabilities to support MLOps for foundation models.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Distributed ComputingHPCMachine LearningAI AlgorithmsPythonC/C++ML Development LifecycleAI FrameworksPublic CloudCloud Platforms AWSCloud Platforms AzureCloud Platforms GCPSecurity ArchitectureScalabilityCost ManagementMLOpsGPU ClustersDistributed SystemsML Frameworks PytorchML Frameworks TensorflowML Frameworks LightningAI Technology StackResearch Publications

Required

Bachelor's degree in Computer Science, Computer Engineering or a technical field

At least 9 years of experience designing and building distributed computing HPC and large-scale ML systems

At least 6 years of experience developing AI and ML algorithms in Python or C/C++

At least 3 years of experience with the full ML development lifecycle using AI and ML frameworks and public cloud.

Preferred

Master’s degree or PhD in Engineering, Computer Science, a related technical field, or equivalent practical experience with a focus on modern AI techniques.

Experience designing large-scale distributed platforms and/or systems in cloud environments such as AWS, Azure, or GCP.

Experience architecting cloud systems for security, availability, performance, scalability, and cost.

Experience with delivering very large models through the MLOps life cycle from exploration to serving.

Experience with building GPU clusters in the public cloud with tightly-coupled storage and networking.

Experience with the complete stack for distributed training of large models including ML compilers, distributed training frameworks, and ML development frameworks such as Pytorch, Tensorflow, Lightning etc.

Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning.

Authored research publications in top peer-reviewed conferences, or industry-recognized contributions in the space of neural networks, distributed training and SysML.

Benefits

Health, financial, and other benefits supporting total well-being

Performance-based incentive compensation including cash bonuses and/or long term incentives

Company

Capital One

Glassdoor

3.9

Capital One is a diversified banking company that offers early and later stage venture, and debt financing investments.

Founded in 1994

Mclean, Virginia, USA

10,001+ employees

http://www.capitalone.com

H1B Sponsorship

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