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.
CI
Hybrid Senior Software Engineer – Machine Learning, Cloud Technologies
Posted 2 months ago
About the role
- Senior Software Engineer developing machine learning analytics and cloud technology solutions for national security. Collaborating in a dynamic team environment to enhance complex software systems in defense applications.
Responsibilities
- Implement and refactor data pipelines at scale to improve efficiency and code correctness.
- Monitor and enhance existing data science tools to facilitate the transition from development to production systems.
- Design, implement, and enhance machine learning analytics using Python libraries such as PyTorch, NumPy, Pandas, and Scikit-learn.
- Train, test, track, and curate models using industry-standard tools and practices.
- Integrate GitOps for continuous integration and deployment of models using Docker and Kubernetes.
- Utilize AWS services such as EC2, S3, and RDS for building and deploying applications.
- Integrate model and tool outputs within Computer Network Defense (CND) systems to enhance Security Management/Monitoring services.
- Document all processes and code, and provide comprehensive reports on completed tasks.
Requirements
- Active TS/SCI w/ Polygraph
- Experience with Python
- Experience with Docker and/or Kubernetes
- 14 years’ experience as a Software Engineer in programs and contracts of similar scope, type, and complexity, or a Bachelor’s degree in Computer Science or a related discipline plus 4 years of additional SWE experience.
- Bachelor’s degree in Computer Science or a related discipline from an accredited college or university is required.
- Alternatively, 4 years of additional Software Engineering experience on projects with similar software processes may substitute for a bachelor’s degree.
- Experience with AWS
- Experience with Machine Learning
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
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.
Senior ML Platform/Ops Engineer at Preply building and maintaining ML pipelines, collaborating with ML Scientists and Data Engineers.
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.