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AI Engineer

  • Toronto, ON, Canada
  • Greater Toronto Area, ON, Canada

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Original job description

Job Description

AI Engineer (Speech and Audio Systems)

We’re a naan traditional company…

Job Summary:

We are seeking a motivated, detail-oriented AI Engineer to join our growing Audio Intelligence team. In this role, you will help build, refine, and deploy machine learning models that understand human speech and sound. You will bridge the gap between creative audio engineering and deep learning by processing raw audio datasets, evaluating model performance, and helping us build the next generation of voice-activated technology.

What FGF Offers:

  • FGF believes in Home Grown Talent, accelerated career growth with leadership training.  Unleashing Your Potential 
  • Competitive Compensation, Health Benefits, & a generous flexible medical / Health spending account
  • RRSP matching program
  • Tuition reimbursement
  • Discount program that covers almost everything under the sun - Restaurants, gyms, shopping etc. 

Responsibilities:

  • Data Curation & Preprocessing: Clean, segment, and format audio datasets for model training (handling noise reduction, volume normalization, and formatting).
  • Audio Analysis & Visual Inspection: Use advanced spectral editing software to inspect, clean, and isolate specific sound events or speech anomalies in our training data.
  • Model Training Support: Assist in fine-tuning state-of-the-art automatic speech recognition (ASR) and audio classification models.
  • Evaluation & Benchmarking: Run validation tests on trained models, track performance metrics (like Word Error Rate), and document failures to help guide future improvements.
  • Collaboration: Work closely with senior AI scientists and data engineering teams to maintain high-quality data pipelines.

Qualifications:

  • Bachelor’s degree in Computer Science, Data Science, Electrical/Audio Engineering, or a related technical field
  • Understanding of basic digital audio concepts like sampling rates, bit depth, channels, etc.
  • Familiarity with sound processing software such as SpectraLayers, Audacity, and python libraries such as scipy.signal, pydub, etc.
  • Strong foundational programming skills, familiarity with version control Git and software engineering best practices
  • Prior experience working in a fast-paced, high-growth environment (big tech or startup experience preferred).

What is the recipe for a great career at FGF?Working at FGF Brands, there is never a dull moment! As a successful company that is continually growing there is always challenging yet rewarding work to be a part of. We have an entrepreneurial spirit which encourages all our team members to use their own creativity and out of the box thinking to come up with solutions and new ideas.

In compliance with Ontario’s Bill 190, we confirm that this posting represents a current, existing vacancy within our organization.

Disclaimer: The above describes the general responsibilities, required knowledge and skills.  Please keep in mind that other duties may be added or this description may be amended at any time.

More about this job

Responsibilities

Prepare, clean, and inspect audio datasets, then support the fine-tuning of speech recognition and audio classification models. Evaluate model performance using validation tests and metrics such as Word Error Rate, document failures, and collaborate with AI scientists and data engineering teams on data pipelines.

Requirements

A bachelor’s degree in Computer Science, Data Science, Electrical or Audio Engineering, or a related technical field is required, along with foundational programming skills and knowledge of digital audio concepts. Candidates should be familiar with audio editing or processing tools and libraries, Git, and software engineering best practices; experience in a fast-paced, high-growth environment is preferred.

Skills

  • Audio Data Curation
  • Audio Preprocessing
  • Digital Audio Concepts
  • Noise Reduction
  • Volume Normalization
  • Spectral Editing
  • Automatic Speech Recognition
  • Audio Classification
  • Model Fine-Tuning
  • Model Evaluation
  • Python
  • Git
  • Data Pipelines
  • Programming
  • Audio Signal Processing

Benefits

  • Competitive Compensation
  • Health Benefits
  • Flexible Medical and Health Spending Account
  • RRSP Matching Program
  • Tuition Reimbursement
  • Discount Program
  • Leadership Training
  • Accelerated Career Growth

Visa sponsorship

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Categories

  • Technology
  • Software
  • Data & Analytics
  • Engineering
  • Science & Research

Keywords

  • Artificial Intelligence
  • Machine Learning
  • Speech and Audio Systems
  • Audio Intelligence
  • Audio Datasets
  • Data Curation
  • Audio Preprocessing
  • Noise Reduction
  • Volume Normalization
  • Spectral Editing
  • SpectraLayers
  • Audacity
  • Python
  • SciPy Signal
  • Pydub
  • Automatic Speech Recognition
  • ASR
  • Audio Classification
  • Model Fine-Tuning
  • Model Evaluation
  • Word Error Rate
  • Digital Audio
  • Sampling Rates
  • Bit Depth
  • Git
  • Data Pipelines
  • Software Engineering
  • Data Science

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