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Capital One jobs

Senior Machine Learning Engineer - Python, AI

$144,200 - 181,000
Capital One
Patriot Highway 9801, Fredericksburg
$144,200 - 181,000
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 - Minimum of 4 years of programming experience in Python, Scala, or Java (Internship experience does not apply) - At least 3 years of experience in designing and developing data-intensive solutions utilizing distributed computing - Minimum of 2 years of hands-on experience with recognized ML frameworks (such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow) - At least 1 year of experience in productionizing, monitoring, and maintaining models Preferred Qualifications: - Over 1 year of experience in building, scaling, and optimizing ML systems - More than 1 year of experience in data gathering and preparation for ML models - At least 2 years of experience in developing high-performance, resilient, and maintainable code - Experience with deploying ML solutions in a public cloud environment like AWS, Azure, or Google Cloud Platform - Masters or doctoral degree in computer science, electrical engineering, mathematics, or related field - More than 3 years of experience with distributed file systems or multi-node database architectures - Contributions to open-source ML software - Authorship of a paper on a ML technique, model, or proof of concept - Over 3 years of experience in building production-ready data pipelines for ML models - Experience designing, implementing, and scaling complex data pipelines for ML models and assessing their performance

Responsibilities

- Collaborate closely with Product and Data Science teams to design, develop, and implement ML models and components that address real-world business challenges - Utilize your knowledge of ML modeling techniques to inform decisions regarding ML infrastructure, including model selection, data handling, feature selection, training, hyperparameter optimization, dimensionality reduction, bias/variance management, and validation - Tackle complex challenges by writing and testing application code, developing and validating ML models, and automating deployment and testing processes - Engage as part of a cross-functional Agile team to create and improve software enabling advanced big data and ML applications - Continuously retrain, maintain, and monitor models in production - Utilize or create cloud-based architectures and technologies to scale optimized ML models - Develop efficient data pipelines to supply input for ML models - Adopt continuous integration and deployment best practices, including automated testing and monitoring, to ensure seamless deployment of ML models and application code - Guarantee that all code is managed appropriately to minimize vulnerabilities, ensuring models are governed from a risk perspective, and adhere to best practices in Responsible and Explainable AI - Employ programming languages such as Python, Scala, or Java

Description


We are Capital One, seeking an experienced Senior Machine Learning Engineer to join our dynamic Agile team focused on implementing machine learning applications and systems on a large scale. Our environment fosters continuous learning and application of cutting-edge innovations and practices in machine learning engineering. The position offers an attractive salary range depending on location, performance-based incentives, and a comprehensive benefits package supporting your overall well-being. We emphasize inclusivity and equal opportunity in our hiring processes, and we are committed to fostering a diverse workplace.
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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 905 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 123 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.