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Foundation Model Training Engineer Jobs

3 jobs found

Today

Senior Lead AI Engineer (LLM Gateway, FM Hosting)

Capital One McLean, VA

McLean, VA

Today

$230k - $262k/yr Full time Senior AI Ai Ml

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Job Description

Overview

Capital One is building responsible and reliable AI systems to transform banking. The company has long led in applying machine learning to deliver real-time, personalized customer experiences, backed by strong investments in infrastructure and top AI talent. These efforts position Capital One at the forefront of enterprises adopting AI.

Team

The Intelligent Foundations and Experiences (IFX) team sits at the center of Capital One's AI strategy. We collaborate with partners across the organization to advance AI science and engineering, building proprietary solutions that scale to millions of customers and empower product teams to integrate AI into their offerings.

Responsibilities

Collaborate with a cross-functional squad of engineers, researchers, technical program managers, and product managers to deliver AI powered products that transform how associates work and how customers interact with Capital One.
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
Invent and apply state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput of large-scale production AI systems.
Contribute to the technical vision and long-term roadmap of Capital One's foundational AI systems.

Requirements

You enjoy building systems, take pride in quality, and are motivated by problems that can change banking for good.
Passion for staying current with AI research and the ability to translate scientific publications into production-ready techniques.
Adaptable with a knack for clarifying large, undefined problems, asking deep questions, and clearly communicating findings; you share new ideas even if unproven.
Deep technical depth in engineering and mathematics, with the ability to spot optimization opportunities across hardware, software, and AI.
Resilient and capable of forging new paths to meet business goals when the route is unclear.
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of AI/ML experience, or Master's degree plus at least 4 years of AI/ML experience.
At least 6 years of programming experience in Python, Go, Scala, or Java.
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (AWS, Google Cloud, Azure, or equivalent private cloud).
Experience designing, developing, integrating, delivering, and supporting complex AI systems.
Proven ability to lead and mentor an engineering team and influence cross-functional stakeholders.
Experience developing AI and ML algorithms or technologies (e.g., LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang.
Experience optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.
Strong interest in AI research and practical application of novel techniques in production environments.
Excellent communication and presentation skills for explaining complex AI concepts to peers.

Technologies

Python, Go, Scala, Java
PyTorch, Huggingface
AWS Ultraclusters, VectorDBs
Nemo Guardrails

Benefits

Performance-based incentive compensation (cash bonuses and/or long-term incentives)
Health, financial and other benefits that support total well-being

Salary and location

Location: McLean, VA (onsite). Salary: USD 229,900 - 262,400 per year.

Note: Salaries by location vary. Other listed locations (Cambridge, MA; New York, NY; San Jose, CA) have the same range for Sr. Lead AI Engineer, while hires in other locations will receive an offer based on the pay range for that location as shown in the offer letter.

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2d ago

Senior Lead AI Engineer

Capital One McLean, VA

McLean, VA

2d ago

$230k - $262k/yr Full time Senior AI Artificial Intelligence

Apply Now

Job Description

The Senior Lead AI Engineer on the Intelligent Foundations and Experiences (IFX) team drives the design, construction, and optimization of AI systems and foundational capabilities to deliver AI powered products and scalable infrastructure. This onsite role is based in McLean, Virginia.

Responsibilities

Collaborate with a cross functional group of engineers, research scientists, program managers, and product managers to ship AI powered products that redefine associate workflows and customer interactions.
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
Invent and apply state-of-the-art optimization techniques for large scale production AI systems to improve performance, scalability, cost, latency, and throughput.
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

Requirements

Education and experience: a Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field with at least 6 years of AI/ML development experience, or a Master’s degree in the same fields with at least 4 years of AI/ML development experience.
Programming experience: at least 6 years of experience programming in Python, Go, Scala, or Java.

Technologies

Python
Go
Scala
Java
AWS Ultraclusters
Huggingface
VectorDBs
Nemo Guardrails
PyTorch

Benefits

Performance-based incentive compensation (cash bonuses and/or long-term incentives)
Health benefits
Financial benefits
Other benefits that support total well-being

Overview

Capital One is building responsible and reliable AI systems to advance banking for good. The company has a history of using machine learning to deliver real-time, personalized customer experiences and continues to invest in technology infrastructure and top talent to remain at the cutting edge of AI-enabled enterprises. Our work enables capabilities from alerting customers about unusual charges to providing AI-assisted answers to inquiries.

Team Description

The Intelligent Foundations and Experiences (IFX) team sits at the core of Capital One's AI strategy, partnering across the organization to advance the state of the art in AI engineering. We build and deploy proprietary solutions that are central to the business, enabling teams to enhance products with AI and deliver value to millions of customers.

The Ideal Candidate

Enjoys building robust systems, takes pride in code quality, and is motivated by delivering meaningful impact in banking for good.
Maintains a strong interest in the latest AI research and can translate scientific findings into production-ready approaches.
Adapts quickly and brings clarity to complex problems, asking questions and articulating findings concisely. Shares new ideas, even when unproven.
Is technically grounded in engineering and mathematics, with broad expertise in hardware, software, and AI that reveals optimization opportunities others miss.
Is a resilient innovator who can chart new paths to meet business goals when the route is unknown.

Basic Qualifications

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field plus at least 6 years of AI/ML development experience, or a Master’s degree in the same fields plus at least 4 years of AI/ML development experience.
At least 6 years of programming experience in Python, Go, Scala, or Java.

Preferred Qualifications

7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g., AWS, Google Cloud, Azure, or equivalent private cloud).
Experience designing, developing, integrating, delivering, and supporting complex AI systems.
Proven ability to lead and mentor an engineering team and influence cross-functional stakeholders.
Experience developing AI and ML algorithms or technologies (e.g., LLM inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang.
Experience optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.
Strong interest in AI research and systems, with the ability to apply novel techniques in production.
Excellent communication and presentation skills, capable of explaining complex AI concepts to peers.

Salary by Location

McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer
New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer
San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer
San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer
Other locations: pay ranges align with local location practices; actual offer amounts are stated in the offer letter.

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2d ago

Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)

Capital One McLean, VA

McLean, VA

2d ago

$230k - $262k/yr Full time Agentic Ai Ai Ml Artificial Intelligence

Apply Now

Job Description

What Capital One offers

Capital One presents a leadership role with a competitive compensation package and an onsite work setting in McLean, Virginia. The position offers a salary range of USD 229,900 - 262,400 per year and a chance to guide AI platform services that power banking solutions across the organization. You will lead cross functional teams to transform how associates work and how customers interact with Capital One, with the opportunity to influence the long term roadmap for foundational AI systems.

Responsibilities

Collaborate with a cross functional group of engineers, research scientists, technical program managers, and product managers to deliver AI powered products that impact both internal workflows and customer interactions.
Design, develop, test, deploy, and support AI software components covering foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
Utilize a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, HuggingFace, VectorDBs, Nemo Guardrails, PyTorch, and related tools.
Invent and apply state of the art LLM optimization techniques to improve scalability, cost, latency, and throughput of large scale production AI systems.
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

Technologies

AWS Ultraclusters
HuggingFace
VectorDBs
Nemo Guardrails
PyTorch
Python, Go, Scala, Java, C++, C#

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of AI/ML development experience, or a Master's degree in these fields with at least 4 years of experience.
At least 6 years of experience programming with Python, Go, Scala, or Java.
Seven years of experience deploying scalable and responsible AI solutions on cloud platforms (AWS, Google Cloud, Azure, or equivalent private cloud).
Experience designing, developing, integrating, delivering, and supporting complex AI systems.
Proven ability to lead and mentor an engineering team and influence cross functional stakeholders.
Experience developing AI and ML algorithms or technologies (eg LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang.
Experience developing and applying state of the art techniques to optimize training and inference software for better hardware utilization, latency, throughput, and cost.
Strong interest in staying current with AI research and applying novel techniques in production when appropriate.
Excellent communication and presentation skills, with the ability to explain complex AI concepts to peers.

Salary ranges by location

Cambridge, MA: 229,900 - 262,400
McLean, VA: 229,900 - 262,400
New York, NY: 250,800 - 286,200
San Francisco, CA: 250,800 - 286,200
San Jose, CA: 250,800 - 286,200
Other locations: actual offer will reflect local pay range

View full job page →

Foundation Model Training Engineer Jobs

Senior Lead AI Engineer (LLM Gateway, FM Hosting)

Senior Lead AI Engineer

Senior Lead AI Engineer(MLX, Agentic AI, Gen AI platform Services)

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