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 leading independent applied-research projects for defense-focused missions. Engaging with novel AI and ML technology to deliver mission-scale capabilities.
Responsibilities
- Design, implement, and evaluate state-of-the-art ML models (computer-vision, NLP, planning, etc.) using frameworks such as TensorFlow, PyTorch, Torch, or Caffe.
- Build and maintain robust data pipelines, ETL processes, and backend services in Python, C/C++, and Java.
- Lead rapid-prototyping efforts, translate research results into operational prototypes, and test for performance, robustness, and security.
- Define and refine DevSecOps practices for ML (model registries, containerized deployment, continuous integration/continuous delivery, security scanning).
- Mentor junior team members, collaborate with researchers, government customers, and other engineers, and contribute to technical strategy for the lab.
Requirements
- B.S. in Computer Science, Electrical Engineering, Statistics, or related field with ≥10 years of experience; OR M.S. with ≥8 years; OR Ph.D. with ≥5 years of relevant experience.
- Ability to obtain and maintain an active Department of War security clearance.
- Strong experience in one or more programming languages such as Python, C/C++, and Java; comfortable developing production-grade code and APIs.
- Solid understanding of ML theory, statistical learning, and common algorithms.
- Hands-on experience with TensorFlow, PyTorch, Torch, Caffe, or similar deep-learning libraries.
- Familiarity with CI/CD pipelines, container orchestration (Docker/Kubernetes), model versioning, and security-focused tooling.
- Proven track record of independent applied-research projects that resulted in demonstrable prototypes or operational capabilities.
- Publications or open-source contributions in AI and ML, especially in adversarial or robust ML.
- Experience working on defense or other high-impact government programs.
- Ability to quickly learn emerging AI and ML technologies and translate them into mission-relevant solutions.
- Deep technical knowledge of modern ML methods and ability to extend them to novel domains.
- Excellent written and verbal communication skills; capable of presenting complex ideas to technical and non-technical audiences.
- Strong collaborative mindset; experience working in interdisciplinary teams and mentoring peers.
- High degree of scientific curiosity and a proactive, self-directed work style.
Benefits
- comprehensive medical, prescription, dental, and vision insurance
- generous retirement savings program with employer contributions
- tuition benefits
- ample paid time off and observed holidays
- life and accidental death and disability insurance
- free Pittsburgh Regional Transit bus pass
- access to our Family Concierge Team to help navigate childcare needs
- fitness center access
- much more!
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