Distinguished Machine Learning Engineer jobs in United States
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Jobs via Dice ยท 3 days ago

Distinguished Machine Learning Engineer

Capital One is a financial services company seeking a Distinguished Machine Learning Engineer to provide technical leadership in productionizing machine learning applications. The role involves designing, developing, and implementing machine learning systems, while mentoring other engineers and ensuring high performance and availability of applications.

Computer Software
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Responsibilities

Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams
Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems
Lead large-scale ML initiatives with the customer in mind
Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
Optimize data pipelines to feed ML models
Use programming languages like Python, Scala, C/C++
Leverage compute technologies such as Dask and RAPIDS
Evangelize best practices in all aspects of the engineering and modeling lifecycles
Help recruit, nurture, and retain top engineering talent

Qualification

Machine LearningPythonDistributed ComputingC/C++ScalaData PipelinesDaskRAPIDSPyData EcosystemTechnical LeadershipMentoringCommunication Skills

Required

Bachelor's degree
At least 10 years of experience designing and building data-intensive solutions using distributed computing
At least 6 years of experience programming in C, C++, Python, or Scala
At least 3 years of experience with the full ML development lifecycle using modern technology in a business critical setting

Preferred

Master's Degree
3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models
2+ years of experience using Dask, RAPIDS, or in High Performance Computing
2+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn)
Ability to communicate complex technical concepts clearly to a variety of audiences
ML industry impact through conference presentations, papers, blog posts, or open source contributions
Ability to attract and develop high-performing software engineers with an inspiring leadership style

Benefits

Performance based incentive compensation
Cash bonus(es)
Long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits

Company

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Early Stage
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