Senior Machine Learning Engineer at Capital One leading technology projects and teams to deliver cloud-based solutions. Collaborating with product managers and sharing tech insights with others in the engineering community.
Responsibilities
Lead a portfolio of diverse technology projects and a team of developers
Collaborate with digital product managers and deliver robust cloud-based solutions
Utilize programming languages like Java, Python, SQL, Node, Go, and Scala
Share passion for tech trends, mentor members of the engineering community
Requirements
Bachelor’s Degree
At least 6 years of professional software engineering experience
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Master’s Degree (preferred)
9+ years of experience in at least one of the following: Python
3+ years of experience with AWS, GCP, Azure, or another cloud service
4+ years of experience in open source frameworks
3+ years of experience with Agnetic Workflows
3+ years of experience with Langgraph or Langchain
2+ years of experience in Agile practices
Benefits
Comprehensive, competitive, and inclusive set of health benefits
Machine Learning Engineer designing and implementing AI systems focused on Japanese language challenges at Woven by Toyota. Involves technical R&D, system design, and collaboration with cross - functional teams.
Principal Software Engineer leading MLOps within Analytics Platform at Sun Life. Focused on AWS and machine learning operations, collaborating across technical and business teams.
Machine Learning Engineer designing and optimizing deep learning models for safety - critical environments at Destinus. Shaping the future of high - speed, autonomous flight technologies.
Machine Learning Engineer optimizing personalization systems for Spotify's audio streaming service. Collaborating with cross - functional teams to enhance user experience and deliver recommendations.
Principal Machine Learning Engineer developing ML and GenAI solutions in a cloud - native environment at Flexera. Leading a high - impact team and driving operational excellence for ML infrastructure.
Senior ML Platform/Ops Engineer building AI - powered ML pipelines for a dynamic Ed - Tech company. Collaborating with ML scientists and engineers to ensure reliable deployment and observability.
Senior ML Platform/Ops Engineer building ML systems for AI - powered learning at Preply. Productionizing machine learning with high reliability, performance, and observability in a hybrid environment.
Machine Learning Engineer developing advanced Deep Learning models for autonomous driving technology at Mobileye. Collaborating in a high - end algorithmic engineering team on critical computer vision challenges.
Machine Learning Engineer focusing on vulnerabilities and security of AI systems at Carnegie Mellon University. Collaborating with a team to build robust prototypes and provide solutions for government sponsors.