Smarsh
Research Engineer III
engineeringfull-timeUS - Remote
SALARY
Not listed
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
general
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About the role
About Smarsh
Smarsh empowers organizations in regulated industries to manage risk and unleash intelligence in their digital communications. The platform helps spot compliance, legal, and reputational risks across 80+ communication channels.
Role Overview
Build 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.
Key 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
Required Experience
Experience with PyTorch and related ML frameworks.
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