1223 IT & Software Developer jobs in the US

Capital One jobs

Lead AI Engineer, Generative AI Services

$215,200 - 245,600
Capital One
Park Avenue 299, New York
$215,200 - 245,600
Company Size icon
Company Size
5k+
Company Type icon
Company Type
Product
Exp Level icon
Exp Level
Lead
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 with a minimum of 4 years in developing AI and ML algorithms or technologies, or a Masters degree with at least 2 years of similar experience. - At least 4 years of programming experience with Python, Go, Scala, or Java. - 6 years of experience in deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure). - Proven track record in designing, developing, delivering, and supporting AI services. - Experience in AI and ML algorithms or technologies such as LLM Inference, Similarity Search, Guardrails, Memory using languages like Python, C++, C#, Java, or Golang. - Expertise in developing and enhancing techniques for optimizing training and inference software for better hardware utilization, latency, throughput, and cost efficiencies. - Strong passion for keeping updated with current AI research and systems, with the ability to apply new techniques thoughtfully in production.

Responsibilities

- Collaborate with a diverse group of engineers, research scientists, technical program managers, and product managers to create AI-driven products that transform associate workflows and customer interactions. - Design, implement, test, deploy, and maintain AI software components including foundational model training, large language model inference, and more. - Utilize a wide range of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, and VectorDBs. - Develop innovative LLM optimization strategies to enhance the performance metrics of large-scale production AI systems. - Contribute to the overarching technical vision and future roadmap for foundational AI systems at Capital One.

Description


At Capital One, we are at the forefront of transforming banking through the development of responsible and effective AI systems. Our Intelligent Foundations and Experiences (IFX) team works collaboratively across the organization to advance AI science and engineering, deploying proprietary solutions that deliver value to millions of customers. We value not only technical proficiency but also the passion to help redefine customer experiences. We offer a competitive and comprehensive benefits package to support our team members overall well-being, reflecting our commitment to an inclusive workplace.
Something wrong or incorrect with this job? Tell us in the chat 💬 on the right ➡️
You can find Machine Learning Engineer salaries in the United States here.

How many Machine Learning Engineer jobs are in the United States?

Currently, there are 1223 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.

Is the US a good place for Machine Learning Engineers?

The US is one of the best countries to work as a Machine Learning 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 Machine Learning Engineer jobs in the United States?

micro1, INNOVA Medical Ophthalmics Inc, Varis Mine Technology Ltd, Infovirtuel, Consultation Devpresso Inc, Cluster Systems, Vortex Solution among others, are currently hiring for ML, AI roles in the United States.

The company with most openings is Jobot as they are hiring for 139 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.