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Lead NLP Engineer

2 months ago

New York, New York, United States Canoe Intelligence Full time
Job Overview

COMPANY: Canoe Intelligence

POSITION: Senior Machine Learning Engineer

LOCATION: New York City (hybrid) or Fully Remote in the United States

SALARY: $140,000 - $210,000 based on experience and location

Position Summary:

We are seeking a highly skilled Senior Machine Learning Engineer to contribute to a rapidly expanding startup focused on enhancing our data processing capabilities and accelerating the delivery of innovative features to the market.

Key Responsibilities:

  • NLP Algorithm Design: Spearhead the creation and execution of cutting-edge NLP algorithms, emphasizing information extraction, entity resolution, and disambiguation.
  • Model Development: Build and refine large language models for diverse NLP applications, ensuring optimal performance in terms of accuracy and scalability.
  • Data Preparation: Collaborate with data engineering teams to preprocess and create features from extensive datasets, boosting the effectiveness of machine learning models.
  • Entity Management: Lead initiatives to tackle challenges in entity resolution and disambiguation, guaranteeing precise identification of entities in unstructured text.
  • Cross-Functional Collaboration: Work alongside product managers, software engineers, and other stakeholders to seamlessly integrate machine learning models into comprehensive solutions.
  • Research Contributions: Stay updated on the latest trends in NLP and machine learning, contributing to research efforts that enhance our technological framework.
  • Mentorship: Conduct code reviews to uphold code quality and mentor junior team members in machine learning practices.

Qualifications:

  • At least 5 years of experience in machine learning, particularly in NLP.
  • Demonstrated expertise in information extraction, entity resolution, and disambiguation.
  • Strong proficiency in Python and relevant machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Experience with deep learning models, especially in the context of NLP.
  • Bachelor's degree in computer science or a related discipline.

Preferred Qualifications:

  • Master's degree or PhD in computer science or a related field.
  • Experience in training and deploying large language models.
  • Familiarity with cloud computing and distributed systems.
  • Knowledge of modern ML Ops tools such as Modal, Weights and Biases, Sagemaker, etc.

Benefits:

  • Comprehensive medical, dental, and vision coverage
  • Flexible paid time off
  • 401(k) plan
  • Remote work flexibility
  • Home office stipend and internet reimbursement
  • Employee Assistance Program
  • Gym membership reimbursement
  • Educational assistance
  • Parental leave
  • Commuter benefits

Company Values:

  • Client Focus: Prioritize client needs and deliver tailored solutions.
  • Ownership: Take initiative and drive positive change.
  • Excellence: Maintain high standards in all endeavors.
  • Collaboration: Foster teamwork to achieve greater outcomes.

About Canoe:

Canoe is transforming the landscape of alternative investment data management for numerous leading institutional investors and asset managers. By integrating industry knowledge with advanced data capture technologies, Canoe automates the tedious and costly manual processes associated with alternative investment documentation and data handling. Our AI-driven platform, developed in 2013, empowers clients to optimize resources, enhance efficiency, and gain deeper insights into their data.

Canoe is committed to fostering an inclusive workplace. All employment decisions are based on merit and business needs, without discrimination based on race, color, religion, marital status, age, national origin, disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected by law.