Machine Learning Engineer at Capital One responsible for productionizing ML applications in Agile teams. Focused on ML architectural design, coding, and maintaining high availability of models.
About the role
- Senior Computer Vision AI/ML Engineer leading a team in AI/ML algorithm implementation for remote sensing solutions. Responsibilities include training models and analyzing datasets with a focus on defense and commercial applications.
Responsibilities
- Leading a small team consisting of developers and researchers to implement AI/ML algorithms
- Analyzing and pre-processing large remote sensing datasets
- Researching supervised and unsupervised ATR solutions for remote sensing
- Training, optimizing, and deploying deep learning CV models
- Writing technical documentation supporting code, program capabilities and user-guides
Requirements
- BS in machine learning, computer science, computer vision, mathematics, or relevant fields
- Minimum 5+ years of experience, preferably in software development or as a data scientist with 3+ years of developing/training AI/ML models
- Experience leading an interdisciplinary team of researchers and software developers
- Experience selecting a technical AI/ML approach
- Effective communicator with the ability to write and present technical reports
- Active TS/SCI U.S. Government Security Clearance
Benefits
- healthcare
- wellness
- financial
- retirement
- family support
- continuing education
- time off benefits
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Lead Machine Learning Engineer at Capital One focused on machine learning applications and systems. Collaborate with Agile teams to develop scalable solutions for business problems.
Machine Learning Systems Research Intern at Red Hat working on AI inference and model optimization techniques. Collaborating with experts in the field while gaining hands - on experience in applied ML research.
Senior Machine Learning Engineer focused on Machine Learning Ops for Autodesk software products. Building production infrastructures, ensuring AI - powered experiences, and collaborating with cross - functional teams.
Senior Machine Learning Engineer developing and deploying machine learning models for autonomous trucks. Collaborating with various teams to enhance safe and efficient decision - making in freight environments.
AI Engineer at PayPal designing, building, and deploying autonomous AI systems powered by LLMs. Collaborating across teams on AI engineering, distributed systems, and product development.
Machine Learning Engineer designing and deploying advanced training capabilities to support U.S. Navy operational readiness. Collaborate on machine - learning models to enhance combat system training environments.
Cloud MLOps Engineer supporting Data Science and Engineering teams by automating CI/CD pipelines and managing multi - cloud infrastructure for ML production.
Lead development of Agentic AI capabilities and LLM applications for multiple mission management applications. Mentor teams to implement ML algorithms addressing customer challenges.
Staff AI/ML Engineer at CACI responsible for developing AI/ML algorithms and analyzing datasets. Join a high - performing team supporting national safety missions.