11 days ago
Base Salary
$180k - $210k/yr
Responsibilities
- Lead a team to build, maintain, and scale production ML pipelines for entity extraction and classification.
- Collaborate with analytics and ML-focused data scientists to translate experiments into deployed systems.
- Implement evaluation, monitoring, and regression testing frameworks with the QC team.
- Drive improvements to classification models and pipelines focusing on measurable impact.
- Advocate for best practices in model deployment, versioning, and operational monitoring.
Requirements
- 5+ years of experience in building and deploying ML systems in production.
- Strong experience with NLP systems and supervised entity classification models.
- Ability to transition from research prototypes to CI/CD and production pipelines.
- Proficiency in Python and common ML tooling.
- Strong analytical skills and problem-solving abilities under ambiguity.
- Excellent communication skills for collaboration across data science and engineering.
Benefits
- High-impact role at an early-stage startup in a fast-growing market.
- Ownership over ML systems that power customer workflows.
- Opportunity to contribute to core ML systems for classification services.
- Beautiful office in NYC’s Financial District.
- Flexible vacation and work from home days.
- Competitive salary and meaningful equity.
- Health, vision, dental, 401k, and other benefits heavily subsidized by Teleskope.