Lead ML Engineer - Production NLP & Data Classification

Namely; New York (NY); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Flexible vacation

Health, vision, dental benefits

401k and equity

Job summary

Teleskope is seeking a Machine Learning Engineer to enhance their element classification system while collaborating with data scientists. This hybrid role emphasizes building production ML pipelines for entity classification, requiring strong experience in NLP and ML systems.

The role offers flexible work arrangements and a competitive salary, along with health benefits. This is an exciting opportunity to contribute to a growing startup with significant market potential.

Qualifications

• 4+ years of experience building and deploying ML systems in production.
• Strong experience with NLP systems and supervised entity classification models.
• Comfort with translating research prototypes to production pipelines.
• Proficiency in Python with common ML tooling.

Responsibilities

• Lead a team for building and scaling production ML pipelines.
• Translate experiments into deployed systems with analytics.
• Implement evaluation and monitoring frameworks.
• Drive improvements to classification models.
• Advocate for best practices in model deployment.

Skills

NLP systems

Supervised entity classification models

Python

Analytical instincts

Problem solving

Collaboration

Job description

Teleskope is seeking a Machine Learning Engineer to enhance their element classification system while collaborating with data scientists. This hybrid role emphasizes building production ML pipelines for entity classification, requiring strong experience in NLP and ML systems.

The role offers flexible work arrangements and a competitive salary, along with health benefits. This is an exciting opportunity to contribute to a growing startup with significant market potential.