Research Engineer III

Smarsh

6d

About The Position

Join our team building production ML infrastructure for enterprise-scale machine learning pipelines. You'll work on a platform that orchestrates end-to-end ML workflows from data ingestion through model training, evaluation, and deployment.

Requirements

• Experience with PyTorch, transformers, or other ML libraries
• Familiarity with ML model evaluation and experimentation
• Interest in ML/AI infrastructure and operations
• Strong problem-solving and debugging skills
• Comfortable with Linux/command-line environments
• Knowledge of AWS services (S3, SageMaker, IAM)
• Exposure to Apache Airflow or workflow orchestration
• Understanding of CI/CD, testing, or infrastructure-as-code

Responsibilities

• Build and maintain Apache Airflow DAGs for ML pipeline orchestration
• Develop SageMaker training jobs for NLP models (NeMo, PyTorch)
• Implement MLflow tracking and model registry integrations
• Write infrastructure-as-code using Terraform (AWS S3, IAM, VPC)
• Create comprehensive tests for ML pipeline components
• Follow spec-driven development practices with Claude Code
• Contribute to ML observability and evaluation frameworks

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed