Intern, AI/ML Platform (Winter)
Core
Intern role focused on advancing MLOps practices and exploring generative AI techniques for CAD and geometry data at Autodesk.
Role type
AI/ML Platform Intern
Builds
Scalable training, evaluation, and deployment pipelines for ML models interacting with 2D/3D design data
Domain
3D design, engineering, manufacturing, and entertainment software (via careerplan.io/jobs/26WD101061-1-intern-aiml-platform-winter-at-autodesk)
Deliverable
production ML models
Required skills
Python, PyTorch/TensorFlow/JAX, ML fundamentals (training loops, embeddings, transformers), MLOps concepts (Docker, Kubernetes, cloud platforms), problem-solving
Preferred skills
LLMs/VLMs/generative models for 2D/3D data, MLOps tools (Ray, MLflow, Airflow), vector databases (pgvector, Pinecone, FAISS), geometry processing/CAD data, physics-heavy fields (robotics, simulations)
Technologies
Kubernetes, Ray, Docker, AWS, Azure, GCP, PyTorch, TensorFlow, JAX
Responsibilities
Improve training and deployment workflows on GPU/cloud infrastructure; prototype AI techniques for 3D/CAD data (embeddings, text-to-geometry); develop evaluation frameworks and benchmarking tools; operate ML workloads at scale; contribute to monitoring and governance systems; document experiments and present findings
Seniority
Intern
