Machine Learning Engineer

Areto Labs

  Posted: May 25, 2021

  Location: Montreal (remote), Quebec

  Internship Program: Digital Tech

  Salary Range: $50,000 - $60,000

  Hours per Week: 35

  Start Date: September 13, 2021

  End Date: March 18, 2022

Job Description

We are looking for a Natural Language Processing Engineer to help us improve our NLP products and create new NLP applications.

NLP Engineer responsibilities include transforming natural language data into useful features using NLP techniques to feed classification algorithms. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and text representation techniques.

Your ultimate goal is to develop efficient self-learning NLP applications.

Duties and Responsibilities

Study and transform data science prototypes
Design NLP applications & algorithms
Select appropriate annotated datasets for Supervised Learning methods
Use effective text representations to transform natural language into useful features
Find and implement the right algorithms and tools for NLP tasks
Develop NLP systems according to requirements
Train the developed model and run evaluation experiments
Perform statistical analysis of results and refine models
Extend ML libraries and frameworks to apply in NLP tasks
Remain updated in the rapidly changing field of machine learning

Knowledge and Skills

Experience as an NLP Engineer or similar role
Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling
Ability to effectively design software architecture
Understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms
Knowledge of Python, Java and R
Ability to write robust and testable code
Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
Strong communication skills
An analytical mind with problem-solving abilities

Education Required

Degree in Computer Science, Mathematics, Computational Linguistics or similar field

  How to Apply

To apply, send your resume to

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