Machine Learning Engineer

Machine Learning Engineer at Teleskope in New York, NY (hybrid) to strengthen element and entity classification pipelines across data sources, bridging research and production with an in-office requirement in NYC.

Responsibilities

• Lead a team responsible for building, maintaining, and scaling production ML pipelines for entity extraction and data element classification across diverse data types.
• Collaborate with 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.
• 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 supervised 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.

Technologies

• Python

Benefits

• A high-impact role at an early-stage startup in a fast-growing market.
• Ownership over ML systems that directly power every customer workflow on the platform.
• An opportunity to contribute to core ML systems that power our classification service.
• A beautiful, well-stocked office in NYC’s Financial District.
• Flexible vacation and work from home days.
• Competitive salary and meaningful equity.
• Health, vision, dental, 401k and more benefits, heavily subsidized by Teleskope.

What We Value

• At Teleskope, we value strong engineers who build real systems.
• We look for team members who combine ML depth with pragmatic execution, take ownership of critical infrastructure, and ship reliable solutions that deliver real-world security and privacy outcomes.