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Job Description
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Job Opportunity: Distinguished Engineer, Generative AI Systems
Location: New York, United States of America
We are looking for an experienced Senior Distinguished Engineer to join our team at Capital One. Our mission is to create trustworthy, reliable, and inclusive AI systems that are changing banking for good. We have been at the forefront of using machine learning to create intelligent, automated customer experiences, bringing simplicity and humanity to banking.
As a Distinguished Engineer, you will play a crucial role in building the foundations of our enterprise AI capabilities. You will work on a variety of projects, such as designing secure infrastructure, building large-scale training clusters, deploying real-time AI models, and supporting cutting-edge AI research. Your work will be essential in transforming how we serve our customers and businesses.
Responsibilities include:
– Designing and building fault-tolerant infrastructure for large-scale training tasks, ensuring reliability even in the face of individual node failures.
– Building infrastructure for serving large machine learning models on our public cloud platform.
– Optimizing storage and networking stack for a thousand-node training cluster, leveraging parallelism strategies to enhance performance.
– Creating benchmarks to measure the performance of software systems within AI capabilities and providing recommendations for technology selection.
– Developing applications that leverage advanced machine learning models.
– Implementing capabilities to support MLOps for foundation models.
Basic Qualifications:
– Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
– At least 7 years of experience designing and building distributed computing and large-scale machine learning systems.
– At least 5 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 platforms.
Preferred Qualifications:
– Master’s degree or PhD in Engineering, Computer Science, or a related technical field, with a focus on modern AI techniques.
– Experience designing large-scale distributed platforms and systems in cloud environments such as AWS, Azure, or GCP.
– Strong knowledge of cloud architecture for security, availability, performance, scalability, and cost.
– Experience with MLOps for large models, from exploration to serving.
– Expertise in building GPU clusters in the public cloud with optimized storage and networking.
– Familiarity with ML frameworks such as Pytorch, Tensorflow, and Lightning.
– Experience in areas of AI technology stack, including prompt engineering, guardrails, vector databases/knowledge bases, LLM hosting and fine-tuning.
– Published research in top peer-reviewed conferences or recognized contributions in the field of neural networks, distributed training, and SysML.
At Capital One, we are committed to diversity and inclusion. We are an equal opportunity employer and welcome applicants from all backgrounds. We value individuals with disabilities, veterans, LGBTQIA+ individuals, and refugees. We believe in providing a safe and inclusive space for everyone.
Salary Range (full-time):
– New York City (Hybrid On-Site): $269,400 – $307,500
– San Francisco, California (Hybrid On-Site): $285,400 – $325,700
– Remote (Regardless of Location): $228,300 – $260,600
In addition to competitive salaries, Capital One offers a comprehensive set of benefits that support your total well-being. Learn more about our benefits at the Capital One Careers website.
To apply for this position or for more information, please visit our website insert website URL . We encourage you to apply as soon as possible, and the application period will remain open for a minimum of 5 business days.
Please note that Capital One does not work with external agencies to fill this position, and we promote a drug-free workplace.
If you require any accommodations during the application process, please contact Capital One Recruiting at (phone number removed) or via email at (url removed). We will ensure that your needs are met while maintaining your confidentiality.
For technical support or any questions about our recruitment process, please email (url removed).
Thank you for considering Capital One as your next career destination!
End of Job Ad
Response:
Dear Hiring Manager ,
I am writing in response to the job opportunity you posted for the position of Distinguished Engineer, Generative AI Systems. I am excited to apply for this role and contribute my expertise to Capital One’s mission of creating trustworthy and inclusive AI systems.
I have a strong background in designing and building distributed computing and large-scale machine learning systems. With more than number of years years of experience, I am confident in my ability to contribute to the development of robust and secure infrastructure, as well as deploying AI models on a large scale. My expertise in AI and ML algorithms, combined with my experience in the full ML development lifecycle using AI and ML frameworks, make me well-suited for this role.
I am particularly interested in working on projects that bring simplicity and humanity to the banking industry. Capital One’s commitment to transforming customer experiences aligns with my own values. I am excited to be part of a team that is at the forefront of leveraging AI capabilities to revolutionize how we serve our customers and businesses.
I believe that my skills and experiences make me a strong fit for this position. I have a degree or qualification in relevant field , and my track record includes specific examples or achievements . I am confident that my technical expertise and passion for AI systems will allow me to contribute to Capital One’s success.
I look forward to the opportunity to discuss my qualifications further and learn more about how I can contribute to Capital One’s mission. Thank you for considering my application.
Sincerely,
Your Name
Bullet Points:
– Seeking an experienced Senior Distinguished Engineer for the position of Generative AI Systems at Capital One.
– Join a team committed to creating trustworthy and inclusive AI systems that are revolutionizing banking.
– Build robust and secure infrastructure, deploy large-scale AI models, and support cutting-edge AI research.
– Minimum qualifications: Bachelor’s degree in Computer Science or related field, at least 7 years of experience in distributed computing and machine learning systems, and proficiency in Python or C/C++.
– Preferred qualifications: Master’s degree or PhD in Engineering or Computer Science, experience with cloud environments such as AWS or Azure, and expertise in ML frameworks and AI technology stack.
– Competitive salaries offered, along with comprehensive benefits that support your total well-being.
– Capital One is committed to diversity and inclusion, welcoming applicants from all backgrounds.
– Application period open for a minimum of 5 business days.
– If you require accommodations during the application process, please contact (url removed).
Note: This is a simplified and concise version of the original job ad, written in inclusive language and plain English to accommodate individuals from all walks of life.
