Machine Learning Engineer Intern contributing to AI solutions for financial services. Engaging in hands - on ML projects and real production issues in a hybrid working environment.
About the role
- Machine Learning Engineer creating AI and ML solutions to transform operations in the Defense and Intelligence sectors. Focusing on optimizing data accessibility and operationalization of AI and ML systems.
Responsibilities
- design, create, and implement complete AI systems that will transform client operations
- increase data accessibility
- optimize AI and ML systems
- ensure that solutions consider the broader ecosystem and operating environment as well as future functionality and enhancements
- deepen skill set in areas like software engineering, machine learning operations (MLOps), and software deployment and integration into a variety of different mission environments
Requirements
- 3+ years of experience as a ML engineer and building production-grade ML solutions
- 3+ years of experience working within data science or data research in a professional or academic environment
- 3+ years of experience working in cloud environments, including AWS and Azure
- 2+ years of experience deploying and integrating production-grade ML models using tools, such as Docker and Kubernetes
- Experience with Large Language Models (LLM), Deep Learning (DL), and Reinforcement Learning (RL)
- Experience with tools and AI agent frameworks such as LangChain, LangGraph, PydanticAI, or llamaindex
- Experience in connecting Agents to APIs, Cloud platforms, or databases
- Experience evaluating LLM performance and building observation layers for stakeholders
- Experience evaluating architectural tradeoffs and designing robust service-based software applications for scalable use
- Ability to obtain a Secret clearance
- Bachelor’s degree
Benefits
- health, life, disability, financial, and retirement benefits
- paid leave
- professional development
- tuition assistance
- work-life programs
- dependent care
- recognition awards program
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Machine Learning Engineer in the CTO division at Open Cosmos developing ML - driven solutions for spacecraft operations. Focused on anomaly detection, forecasting, and decision - making automation.
Develop and automate Machine Learning models for Telecommunications networks during Master’s Thesis Internship. Engage with real - world operational data from Nokia's Microwave Radio technology.
Machine Learning Scientist III developing AI solutions for multi - product domain at Expedia Group. Collaborating with product managers and engineers to optimize travel experiences through machine learning.
Applied AI Engineer at Mistral AI integrating AI products for clients, managing complex technical challenges while working in a collaborative environment.
Staff Machine Learning Engineer at Adobe, leading technical efforts for scalable GenAI services across products like Photoshop and Lightroom. Collaborating closely with research and product teams for high - performance solutions.
AI Engineer building agentic systems and applying AI models for national security initiatives. Collaborating with teams to solve client challenges with cutting - edge AI solutions.
Lead AI/ML Engineer on army enterprise team training and deploying models on cutting - edge AI technologies. Collaborate across teams to solve real - world challenges in the threat landscape.
Machine Learning Scientist III at Expedia Group developing ML algorithms to enhance customer experience. Tackling complex problems in online travel for improved post - booking recommendations and service.
Senior Machine Learning Engineer architecting next - gen Agentic AI systems for enterprise workflows at Demandbase. Focused on multi - agent orchestration and LLM - powered reasoning systems.