Deep Learning Engineer

Numerator; Toronto; On-site; CAD 150,000 - 250,000; Full time

Job summary

Numerator is seeking a Deep Learning Engineer to join its Machine Learning team. You will develop and deploy high-performance deep learning systems, working closely with internal and external teams to deliver impactful technology solutions. Candidates should have a strong background in machine learning, particularly in NLP.

Qualifications

• 2+ years experience building and deploying machine learning APIs in production.
• Foundational understanding of deep learning modeling.
• Experience with NLP, information retrieval, and related methodologies.

Responsibilities

• Develop and train deep learning models for NLP tasks.
• Build and maintain APIs and data pipelines for deep learning.
• Collaborate with various teams to ship solutions.

Skills

Python

Pytorch

NLP

Machine Learning

Deep Learning

Education

Masters or PhD in Machine learning, Computer Science, Mathematics, Statistics

3+ years equivalent industry experience

Tools

Hugging Face transformers

TensorRT

ONNX

Job description

Join to apply for the Deep Learning Engineer role at Numerator

Join to apply for the Deep Learning Engineer role at Numerator

We’re reinventing the market research industry. Let’s reinvent it together.

At Numerator, we believe tomorrow’s success starts with today’s market intelligence. We empower the world’s leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it.

Numerator is looking for a passionate Deep Learning Software Engineer to join our growing Machine Learning team. This is a unique opportunity where you will get a chance to work with an established and rapidly evolving platform that handles millions of requests and massive amounts of events, and other data. In this position, you will be responsible for taking on new initiatives to design, build, deploy, and support high performance deep learning systems in a rapidly-scaling environment.

As a member of our team, you will make an immediate impact as you help build out and expand our technology platforms across several software products. This is a high growth and impact role that will give you tons of opportunity to drive decisions for projects from inception through production.

What You'll Do:

• Develop and train deep learning models on computing clusters to perform NLP-related tasks, such as applying both pre-trained and custom transformers for NER, sequence classification, language modeling, etc.
• Build and maintain systems, APIs, and end-to-end data pipelines to deliver deep learning insights throughout all of Numerator’s products and platforms.
• Work closely with other deep learning engineers, MLOps engineers, product managers, and other teams, both internal and external stakeholders, owning a large part of the process from problem understanding to shipping the solution.
• Have the freedom to suggest and drive organization-wide initiatives while being part of providing the technical vision and strategy at Numerator.
  
  

What You'll Bring to Numerator

• 2+ years experience building and deploying robust machine learning APIs in production environments (ideally cloud-based environments such as AWS or GCP).
• Background in the foundations of deep learning modeling with experience building high throughput, production quality deep learning pipelines for NLP, computer vision, information extraction/retrieval, or related practice
• Foundational understanding of Python, Pytorch, and Hugging Face transformers library
• Knowledge in the latest NLP-related algorithms and methods such as LLMs, transformers, sequence-to-sequence models, word and sentence embeddings, attention, information retrival etc
• Experienced software engineering, data modeling, and debugging/profiling fundamentals
• A Masters or PhD in Machine learning, Computer Science, Mathematics, Statistics, or another quantitative discipline or 3+ years equivalent industry experience
  
  

Nice to Haves:

• Production experience with LLMs including RAG, Agenic patterns, and information retrieval techniques. LLM Self-hosting and training experience not required.
• Demonstrated ability to drive selection of machine learning approaches to solve specific problems coupled with the ability to clearly communicate tradeoffs
• Experience with one or more model inference optimization libraries (TensorRT, ONNX, torch script, etc)
• General software design patterns (REST, MVC, Auto-scaling, etc.)
• Experience supporting machine learning solutions for multiple languages

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting, Market Research, and Information Services

Referrals increase your chances of interviewing at Numerator by 2x

Get notified about new Deep Learning Engineer jobs in Toronto, Ontario, Canada.

Software Engineering Intern, Robotics Perception Research - Fall 2025

Toronto, Ontario, Canada CA$150,000.00-CA$250,000.00 1 month ago

Toronto, Ontario, Canada CA$150,000.00-CA$250,000.00 1 month ago

Senior Application Engineer (Salesforce DevOps)

Software Engineer III - Site Reliability, Tim Hortons

Senior High Performance Computing Engineer

Greater Toronto Area, Canada $150,000.00-$250,000.00 4 months ago

MTS - Deep Learning Software Engineer - AI Models

MTS - Deep Learning Software Engineer - AI Models

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.