AI/ML Engineer focusing on machine learning applications in oncology. Developing analytical solutions to enhance patient selection and drive next - generation assets in healthcare.
About the role
- Machine Learning / AI Engineering Intern at Teradyne developing AI-driven software systems and collaborating on intelligent automation projects. Focus on applied AI initiatives and real-world engineering challenges.
Responsibilities
- Develop and fine-tune machine learning models, including large language models.
- Experiment with reinforcement learning and policy optimization methods.
- Support data preparation, synthetic data generation, and model evaluation.
- Contribute to the design of intelligent, agent-based workflows.
- Collaborate with software and engineering teams to prototype AI-enabled solutions.
Requirements
- Strong analytical and problem-solving skills.
- Proficiency in Python and deep learning frameworks (e.g., PyTorch or TensorFlow).
- Familiarity with large language models and modern AI development tools.
- Exposure to reinforcement learning concepts (e.g., policy gradients, value functions) is a plus.
- Experience with AI orchestration or agent frameworks (e.g., LangChain, AutoGen, etc.) is a plus.
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