Lead Machine Learning Engineer
Job Description
Capital One is seeking a Lead Machine Learning Engineer to join their team in Chicago. This role combines software engineering expertise with machine learning capabilities, focusing on productionizing ML applications at scale. As a Lead ML Engineer, you'll be responsible for designing and implementing sophisticated machine learning systems, developing data pipelines, and ensuring high-performance production deployments. The position requires extensive experience in data-intensive solutions and programming, offering a competitive salary range of $175,800 - $200,700 plus additional benefits.
The role involves working with cutting-edge ML technologies and frameworks, including scikit-learn, PyTorch, and TensorFlow, while collaborating with cross-functional teams to deliver business impact. You'll be responsible for the entire ML lifecycle, from model development to production deployment, ensuring best practices in responsible AI and model governance. Capital One offers a comprehensive benefits package and the opportunity to work with a leading financial technology company that prioritizes innovation in banking.
This position requires strong technical expertise combined with leadership capabilities, as you'll be working on complex ML systems that directly impact business outcomes. The ideal candidate will have at least 6 years of experience in data-intensive solutions and 4 years of programming experience, with a strong background in ML systems development. You'll be part of Capital One's mission to bring ingenuity, simplicity, and humanity to banking, working on projects that leverage the latest innovations in machine learning engineering.
The role offers significant growth opportunities and the chance to work with state-of-the-art technologies while solving real-world problems in the financial sector. Capital One's commitment to technology innovation and data-driven solutions makes this an excellent opportunity for experienced ML engineers looking to make a meaningful impact while advancing their careers in a supportive, forward-thinking environment.
Responsibilities For Lead Machine Learning Engineer
- Design, build, and deliver ML models and components that solve real-world business problems
- Make ML infrastructure decisions based on modeling techniques and issues
- Write and test application code, develop and validate ML models
- Collaborate with cross-functional Agile teams
- Retrain, maintain, and monitor models in production
- Build cloud-based architectures for ML applications
- Construct optimized data pipelines
- Implement CI/CD practices for ML models
- Ensure code security and follow Responsible AI practices
Requirements For Lead Machine Learning Engineer
- Bachelor's degree
- At least 6 years of experience designing and building data-intensive solutions
- At least 4 years of experience programming with Python, Scala, or Java
- At least 2 years of experience building, scaling, and optimizing ML systems
- Experience with ML frameworks like scikit-learn, PyTorch, Dask, Spark, or TensorFlow
- Experience with data gathering and preparation for ML models
- Experience developing and deploying ML solutions in public cloud
Benefits For Lead Machine Learning Engineer
- Performance based incentive compensation
- Cash bonuses
- Long term incentives (LTI)
- Comprehensive health benefits
- Financial benefits
- Total well-being support
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