Join the AI/ML team developing search and Context Graph capabilities for Autodesk’s industry‑cloud products, shaping how engineers discover and use design data.
What You’ll Do
- Build and maintain ML model evaluation frameworks for search and Context Graph.
- Develop and operate low‑latency inference pipelines at scale.
- Implement AI automation workflows to accelerate feature development and deployment.
- Integrate AI/ML capabilities into distributed microservices with Search and CG teams.
- Contribute to vector embedding pipelines and semantic search enhancements.
- Collaborate with SREs to meet SLAs, monitor, troubleshoot, and optimize AI services.
What You Need
- BS/MS in Computer Science, ML, or related field.
- 2‑4 years building and operating ML systems or AI‑powered applications.
- Strong fundamentals in model training, evaluation, inference, and deployment.
- Proficiency in Python for ML engineering and data pipelines.
- Experience with LLM APIs, prompt engineering, and foundation models.
- Hands‑on work with vector databases (e.g., Pinecone, Weaviate, pgvector).
Good to Have
- Experience building Retrieval Augmented Generation (RAG) architectures.
- Familiarity with graph databases such as Neo4j or Neptune.
- Knowledge of MLOps tools (MLflow, Kubeflow, SageMaker Pipelines) and AI evaluation frameworks.
The Opportunity
You’ll join a team that powers industry‑cloud products like Fusion, Forma and Flow, impacting millions of designers worldwide while contributing to Autodesk’s culture of innovation.