4298 IT & Software Developer jobs in the US

Capital One jobs

Senior Machine Learning Engineer - IFX

$147,100 - 184,600
Capital One
Capital One Drive 1680, Mc Lean
$147,100 - 184,600
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 experience programming in Python, Scala, or Java (Internship experience does not count) - At least 3 years of experience designing and developing data-intensive solutions using 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 practical experience in productionizing, monitoring, and maintaining models - 1+ years of experience in building, scaling, and optimizing ML systems (preferred) - 1+ years of experience in data collection and preparation for ML models (preferred) - 2+ years of experience in creating high-performance, resilient, and maintainable code (preferred)

Responsibilities

- Design, create, and deliver ML models and components that address real-world business challenges in collaboration with Product and Data Science teams - Utilize your understanding of ML modeling techniques to inform decisions about model selection, data usage, feature selection, model training, and validation - Address complex problems through coding, testing applications, and developing and validating ML models while automating tests and deployment - Work in a cross-functional Agile team to develop and refine software supporting state-of-the-art big data and ML applications - Maintain, monitor, and retrain models in a production environment - Utilize or develop cloud-based technologies and platforms to deliver optimized ML solutions at scale - Construct efficient data pipelines to facilitate ML model input - Apply continuous integration and deployment best practices to ensure successful deployment of ML solutions and application code - Guarantee that all code is secure and follows best practices regarding Responsible and Explainable AI while ensuring models are well-governed from a risk perspective - Use programming languages like Python, Scala, or Java in your role

Description


At Capital One, we are seeking a Senior Machine Learning Engineer to join our Agile team, where we focus on scaling machine learning applications and systems. Our team is dedicated to the technical design, development, and deployment of innovative machine learning technologies. We offer competitive salaries, ranging from $147,100 to $184,600 based on location, along with a comprehensive benefits package that promotes overall well-being. Join us in McLean, VA; Plano, TX; or Richmond, VA, and be part of our collaborative culture that encourages continuous learning and innovation in the field of machine learning.
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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 4298 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?

The Dufresne Group (TDG), D3 Security Management Systems, GE Aerospace, Ratelle - avocats et notaires, LockIT Technologies, LLC, Plaza Auto Mall, MORSE Corp among others, are currently hiring for ML, AI roles in the United States.

The company with most openings is Kforce Technology Staffing as they are hiring for 320 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.