Deep Learning Engineer at Numerator
Toronto, ON, Canada -
Full Time


Start Date

Immediate

Expiry Date

14 Sep, 25

Salary

0.0

Posted On

16 Jun, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Workshops, Global Teams, Creativity, Collaboration

Industry

Information Technology/IT

Description

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 CAN EXPECT FROM YOUR INTERN EXPERIENCE

You’ll play an active role as a member of a dynamic team of supportive and highly motivated employees and leaders. From day one, you’ll be set up for success with your NuIntern buddy, who will be a key partner throughout your internship. Numerator’s onboarding program will introduce you to your new colleagues, immerse you into our culture, and provide you with resources to thrive.
Expect to make an impact on real projects, business challenges, clients, and our global teams. Interact and engage with colleagues in person at our cool headquarters, designed to further inspire innovation, creativity, and collaboration. You’ll also have the opportunity to participate in local events, Hack Days, networking, and workshops.

Responsibilities
  • 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
Loading...