Machine Learning Engineer
Teleskope
full-time
Posted on:
Location Type: Hybrid
Location: New York City • New York • United States
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Salary
💰 $160,000 - $190,000 per year
Tech Stack
About the role
- Build, maintain, and scale production ML pipelines for entity extraction and data element classification across diverse data types.
- Partner with both analytics and ML-focused data scientists to translate experiments into deployed systems and unblock technical bottlenecks.
- Implement evaluation, monitoring, and regression testing frameworks in collaboration with QC.
- Improve data ingestion workflows and preprocessing for structured and unstructured sources.
- Drive incremental improvements to classification models and pipelines with a focus on measurable impact.
- Advocate for and implement best practices around model deployment, versioning, and operational monitoring.
Requirements
- 4+ years of experience building and deploying ML systems in production
- Strong experience with NLP systems and entity classification models
- Comfort moving from research prototypes to CI/CD and production pipelines
- Proficiency in Python with common ML tooling
- Strong analytical instincts and problem solving under ambiguity
- Collaborative communicator who can partner across data science and engineering functions
Benefits
- Competitive salary and meaningful equity
- Health, vision, dental, 401k and more benefits, heavily subsidized by Teleskope
- Flexible vacation and work from home days
- A beautiful, well-stocked office in NYC’s Financial District
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningentity extractiondata classificationNLPPythonCI/CDdata ingestionmodel deploymentregression testingmonitoring frameworks
Soft Skills
analytical skillsproblem solvingcollaborationcommunication