4107 IT & Software Developer jobs in the US

Capital One jobs

Senior AI Engineer, Generative AI Services

$229,900 - 286,200
Capital One
Park Avenue 299, New York
$229,900 - 286,200
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 at least 6 years of experience in developing AI and ML algorithms, or a Masters degree in the same fields with at least 4 years of 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 such as AWS, Google Cloud, Azure, or equivalent private cloud (preferred) - Experience in designing, developing, integrating, delivering, and supporting complex AI systems (preferred) - Proven ability to lead and mentor engineering teams and influence cross-functional stakeholders (preferred) - Experience in developing AI and ML algorithms, including LLM Inference, Similarity Search, Guardrails, Memory, using languages such as Python, C++, C#, Java, or Golang (preferred) - Expertise in optimizing training and inference software to enhance hardware utilization, latency, throughput, and cost (preferred) - Strong communication and presentation skills, capable of articulating complex AI concepts clearly to peers (preferred)

Responsibilities

- Collaborate with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-driven products that transform our associates work and customer interactions - Design, develop, test, deploy, and maintain AI software components, including foundation model training, large language model inference, similarity search, guardrails, model assessment, experimentation, governance, and observability - Utilize a diverse range of Open Source and SaaS AI technologies, including AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch - Innovate and implement cutting-edge LLM optimization strategies to enhance performance metrics such as scalability, cost, latency, and throughput for large-scale production AI systems - Contribute to the overarching technical vision and long-term roadmap for foundational AI systems at Capital One

Description


At Capital One, we are pioneering responsible and dependable AI systems, aimed at transforming banking for the better. We are recognized as leaders in implementing machine learning to create personalized customer experiences. Our commitment to technological innovation and top-tier talent, coupled with our extensive experience in machine learning, positions us at the forefront of enterprise AI applications. Join the Intelligent Foundations and Experiences (IFX) team, where we bring our AI vision to life through collaboration with partners across the organization. We create proprietary solutions that provide substantial value to millions of customers, advancing the capabilities of AI in a responsible, scalable manner. This role offers competitive compensation and benefits, and provides an exciting opportunity to make a meaningful impact on how we serve our customers.
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 4107 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?

Decisive Dividend Corporation, GINGER Telecom, D3 Security Management Systems, Gatestone & Co. Inc, GE Aerospace, AMZ Prep, MetroStar among others, are currently hiring for ML, AI roles in the United States.

The company with most openings is Judge Group, Inc. as they are hiring for 299 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.