Deep Learning Engineer

Numerator / Market Track, LLC; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading market research company is seeking a Deep Learning Engineer to enhance their Machine Learning team. The successful candidate will develop deep learning models, build APIs, and maintain data pipelines for NLP tasks. This role offers significant opportunities for impact and growth within a dynamic environment emphasizing innovation and support for its team.

Benefits

Recharge Days

Maximum flexibility policy

Wellness resources for employees and families

Development opportunities

Qualifications

• 2+ years experience in production environments, ideally with cloud platforms like AWS or GCP.
• Background in NLP, computer vision, and related practices.
• Experience with deep learning pipelines and algorithms.

Responsibilities

• Develop and train deep learning models for NLP tasks using high-performance computing clusters.
• Build and maintain systems and APIs for delivering deep learning insights.
• Collaborate with cross-functional teams to deliver solutions from inception to deployment.

Skills

Machine Learning APIs

Deep Learning Modeling

NLP

Software Engineering

Data Modeling

Education

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

Tools

Python

Pytorch

Hugging Face

Job description

Deep Learning Engineer

Location: Toronto, ON, Canada
Req#: 604016

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.

Deep Learning Engineer

Location: Toronto, ON, Canada
Req#: 604016
Apply Company Information

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.

Job Description

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.

Skills & Requirements

• 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

There is strength in numbers - We are the Numerati

Numerator is 2,000 employees strong. We have the confidence to be real and embrace what makes each Numerati unique. Our diverse experiences, ideas and backgrounds fuel our innovation.

Being part of the Numerati means that we’ll take care of you! From our Recharge Days, maximum flexibility policy, wellness resources for employees and their families, development opportunities and much more — we’re always finding ways to better support, celebrate and accelerate our team.