726 IT & Software Developer jobs in the US

Lead AI Engineer, LLM and Agentic AI
$193,400 - 240,800
Capital One
West Cary Street 2933, Richmond
$193,400 - 240,800
Requirements
Must:
- Bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field with a minimum of 4 years of experience in developing AI and ML technologies, or a Masters degree with at least 2 years of relevant experience
- At least 4 years of programming experience with Python, Go, Scala, or Java
- 6 years of experience deploying scalable AI solutions on cloud platforms (AWS, Google Cloud, Azure, or equivalent)
- Proven experience in designing, developing, and delivering AI services
- Proficiency in developing AI and ML algorithms (e.g., LLM Inference, Similarity Search, VectorDBs) using Python, C++, C#, Java, or Golang
- Experience in optimizing training and inference software to enhance hardware utilization and reduce latency and cost
- A strong commitment to staying updated with the latest in AI research and implementing novel techniques in production
Responsibilities
- Collaborate with a diverse team of engineers, research scientists, technical program managers, and product managers to create AI-powered solutions that enhance our operations and customer interactions
- Design, develop, test, deploy, and maintain AI software components, including foundation model training and large language model inference
- Utilize a wide range of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch
- Innovate and implement advanced LLM optimization methods to enhance the performance of large-scale AI systems
- Contribute to the strategic vision and long-term development of foundational AI systems at Capital One
Description
At Capital One, we are pioneering responsible and reliable AI systems, fundamentally transforming banking for the better. Our Intelligent Foundations and Experiences (IFX) team is pivotal in realizing our vision for AI, collaborating across the organization to push the boundaries of AI engineering. We develop proprietary solutions that deliver significant value to millions of customers. We offer a competitive range of benefits designed to support your overall well-being and promote a collaborative and inclusive work environment. Join us and help shape the future of banking through groundbreaking AI capabilities.
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 726 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?
Jump, Gatekeeper Systems Inc, Deighton Associates Ltd., CoveySoft Technology Group, Besnard Information Services, TsunadeQ Systems, IgnoMail Network Services among others, are currently hiring for ML, AI roles in the United States.
The company with most openings is Capital One as they are hiring for 72 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Capital One as they are hiring for 72 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.