about 3 hours ago
Base Salary
$153k - $179k/yr
Responsibilities
- Collaborate with AI scientists to package and deploy ML models.
- Build and maintain model serving infrastructure including monitoring and drift detection.
- Implement unit, integration, and system-level testing for ML models.
- Develop and operate end-to-end ML pipelines from ingestion to monitoring.
- Integrate CI/CD and MLOps practices for automated model builds and testing.
- Identify and resolve workflow inefficiencies between research and production.
- Recommend and integrate frameworks to improve pipeline efficiency and observability.
- Ensure compliance with regulatory requirements in production ML workflows.
Requirements
- 7+ years of experience in software engineering for ML production or ML platform delivery.
- Hands-on experience deploying ML models via APIs, batch pipelines, or streaming inference.
- Proficiency in Python, Java, or similar programming languages.
- Experience with unit, integration, and pipeline-level testing for ML models.
- Familiarity with cloud platforms, preferably AWS.
- Experience with CI/CD and orchestration tools like Airflow and Kubernetes.
- Strong collaboration skills to work effectively with cross-functional teams.
Benefits
- Eligible for a 15% target annual bonus.
- Total Target Compensation includes base pay, variable pay, and stock options.
- Remote work flexibility with occasional travel for team meetings.