919 IT & Software Developer jobs in the US

Capital One jobs

Senior AI Engineer, Generative AI Systems

$158,600 - 197,400
Capital One
Park Avenue 299, New York
$158,600 - 197,400
Company Size icon
Company Size
5k+
Company Type icon
Company Type
Product
Exp Level icon
Exp Level
Senior
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- Bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus a minimum of 3 years of experience in developing AI and ML algorithms or technologies, or a Masters degree in a related field with at least 1 year of relevant experience. - A minimum of 3 years of programming experience in Python, Go, Scala, or Java. - At least 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) is preferred. - Experience in developing, delivering, and supporting AI services is advantageous. - Proficiency in developing AI and ML algorithms or technologies, such as LLM Inference, Similarity Search, Guardrails, and Memory, using programming languages like Python, C++, C#, Java, or Golang. - Familiarity with state-of-the-art techniques for enhancing training and inference software performance, including improvements in hardware utilization, latency, throughput, and cost.

Technologies

AI
C#
LLM
Machine Learning
PyTorch

Responsibilities

- Collaborate with a diverse team of engineers, research scientists, technical program managers, and product managers to create AI-driven products that enhance our associates work and customers interactions with Capital One. - Design, construct, test, launch, and maintain AI software components, including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. - Utilize a wide range of Open Source and SaaS AI technologies, such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch. - Develop and apply innovative LLM optimization techniques to enhance the scalability, cost-effectiveness, latency, and throughput of large-scale production AI systems. - Contribute to the technical vision and long-term strategy of foundational AI systems at Capital One.

Description


At Capital One, we are pioneers in creating responsible AI systems that are revolutionizing the banking industry. Our commitment to leveraging machine learning for delivering personalized customer experiences sets us apart. We are invested in advanced technology infrastructure and are building world-class applied science and engineering teams to enhance our product offerings with exceptional AI capabilities. The Intelligent Foundations and Experiences (IFX) team plays a crucial role in actualizing our AI vision, collaborating across the company to develop proprietary solutions that deliver value to millions. Join us, and be part of a team that drives the transformative impact of AI on banking.
Something wrong or incorrect with this job? Tell us in the chat 💬 on the right ➡️
You can find System Engineer salaries in the United States here.

How many System Engineer jobs are in the United States?

Currently, there are 919 System openings. Check also: Linux jobs, Windows jobs, Network jobs - all with salary brackets.

Is the US a good place for System Engineers?

The US is one of the best countries to work as a System Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.

Which companies are hiring for System Engineer jobs in the United States?

Jump, Gatekeeper Systems Inc, Deighton Associates Ltd., CoveySoft Technology Group, Besnard Information Services, TsunadeQ Systems, IgnoMail Network Services among others, are currently hiring for System roles in the United States.

The company with most openings is Capital One as they are hiring for 136 different System Engineer jobs in the United States. They are probably quite committed to find good System Engineers.