Align Technology is seeking a Machine Learning Automation Engineer Intern to build automation pipelines, experiment with generative AI models, and optimize ML workflows to power next-generation analytics and agentic AI solutions.
Requirements
- Strong programming skills in Python (mandatory); familiarity with libraries such as NumPy, pandas, scikit-learn, PyTorch, TensorFlow, and LangChain.
- Working knowledge of generative AI (e.g., GPT, Llama, or similar LLMs).
- Solid understanding of statistics, probability, and data analysis (hypothesis testing, regression, A/B testing, Bayesian methods).
- Familiarity with automation frameworks (Airflow, Prefect, or similar) and version control (Git).
- Familiarity with AI powered code editors / IDE (eg., Cursor, Replit, VS Code, or similar)
- Working knowledge of API integration, prompt engineering, and vector databases (e.g., Pinecone, Qdrant, Weaviate).
- Understanding of data pipelines, model monitoring, and evaluation metrics.
Responsibilities
- Design and implement automated pipelines for data preprocessing, model training, evaluation, and deployment.
- Develop generative AI workflows (LLMs, diffusion models, transformers) for applied use cases such as synthetic data generation, RAG pipelines, and multimodal analysis.
- Build and maintain CI/CD for ML systems, ensuring reproducibility and model governance.
- Collaborate on feature engineering, hyperparameter tuning, and model validation using advanced statistical methods.
- Integrate MLOps frameworks (e.g., MLflow, Azure ML, AWS SageMaker) into automation processes.
- Prototype and evaluate new tools for AI-driven process automation and intelligent agent frameworks.
- Document experiments, track metrics, and support version control of datasets and models.
Other
- Bachelor’s degree in mathematics, data science, computer science, engineering, statistics or equivalent.
- Excellent problem-solving skills and an eagerness to learn emerging AI technologies.
- Health and well-being programs to keep you thriving in both body and mind.
- Employee-exclusive discounts on Invisalign products.
- Learning opportunities through online learning resources and support for your individual development plans.
