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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 role level

Role Summary:

We are seeking a Senior Machine Learning Engineer to engage in a rapidly expanding startup focused on developing innovative models that enhance our data processing capabilities and enable us to introduce new features to the market with unmatched speed and precision.

Key Responsibilities:

  • NLP Algorithm Development: Spearhead the design and execution of cutting-edge NLP algorithms, concentrating on information extraction, entity resolution, and disambiguation.
  • Model Training and Optimization: Construct and refine large language models for diverse NLP applications, enhancing their performance for accuracy, efficiency, and scalability.
  • Data Preprocessing and Feature Engineering: Collaborate with data engineering teams to preprocess and create features from extensive datasets to boost machine learning model performance.
  • Entity Resolution and Disambiguation: Lead the creation of solutions addressing entity resolution and disambiguation challenges, ensuring precise identification of entities within unstructured text.
  • Collaboration with Cross-functional Teams: Work alongside product managers, software engineers, and other stakeholders to integrate machine learning models into comprehensive solutions.
  • Research and Innovation: Keep up with the latest developments in NLP and machine learning, actively contributing to research efforts to enhance our technology stack.
  • Code Review and Mentorship: Conduct code reviews to maintain code quality and mentor junior members of the machine learning team.

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 architectures, especially those applied to NLP tasks.
  • 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 platforms and distributed computing.
  • Knowledge of modern ML Ops tools such as Modal, Weights and Biases, Sagemaker, etc.

Benefits:

  • Comprehensive medical, dental, and vision benefits
  • Flexible paid time off
  • 401(k) plan
  • Flexible remote work policy
  • Home office stipend and wifi reimbursement
  • Employee Assistance Program
  • Gym reimbursement
  • Education assistance
  • Parental leave
  • Commuter benefits

Company Values:

  • Client First: Prioritize client-centric solutions
  • Be An Owner: Take initiative and drive positive outcomes
  • Excellence: Maintain the highest standards
  • Win Together: Foster collaboration and teamwork

About Canoe:

Canoe is transforming alternative investment data processes for numerous leading institutional investors, capital allocators, asset servicing firms, and wealth managers. By merging industry expertise with advanced data capture technologies, Canoe's solutions automate the cumbersome, time-consuming, and costly manual workflows associated with alternative investment document and data management, extraction, and delivery. This enables clients to redirect capital and human resources towards enhancing business performance and growth, increasing efficiency, and gaining deeper insights into their data. Canoe's AI-driven platform was initially developed in 2013 for Portage Partners LLC, a private investment firm.

Canoe is committed to equal opportunity employment. All employment decisions, including hiring, promotion, and discipline, are based on merit, competence, performance, and business needs. We do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.