2 months ago
Base Salary
$160k - $200k/yr
Responsibilities
- Design and build a centralized system for versioning training data and model artifacts.
- Develop and maintain reliable ML training and data generation pipelines.
- Refactor existing training scripts into composable and maintainable components.
- Create CI/CD workflows for validating data pipelines and model training.
- Build tooling for ML engineers to launch and monitor training jobs.
- Optimize real-time model inference services for production requirements.
- Own the deployment path from trained model artifact to production endpoint.
Requirements
- 3+ years of work experience in relevant fields.
- Bachelor's or Master's degree in Computer Science, Engineering, or equivalent experience.
- Strong communication skills to collaborate with ML researchers and engineers.
- Experience designing data versioning and artifact management systems.
- Hands-on experience with ML pipeline orchestration tools.
- Experience with model serving and inference optimization.
- Ability to read and refactor ML training code.
- Proficient with Python and PyTorch.