Data Scientist, Conversational AI

1 month ago

Canada Glia Full time

The 4 Types of Needs: Unlock Loyalty with an Interaction Strategy

The Opportunity

If you are a solid data scientist familiar with deep learning, large language models and NLP, this is the job for you. As a Data Scientist, you play an essential role to apply AI technologies to solve business problems. You are a decision maker on feature feasibility, priorities and design decisions, and will work to ensure key architectural and machine learning considerations are taken into account when designing state of the art capabilities in conversational AI. 

With your technical data science background, you understand both the business and technical needs from different stakeholders. You work with architects, data scientists, developers, and product owners to ensure that business, quality, and functional goals are met with each release. 

The Team

You will be joining Team NLU that mainly uses python, SQL, mxnet, pytorch and jenkins, along with other latest technologies to implement models that deliver Conversational AI technology to chat and voice interfaces.

Members of the team are located primarily in Vancouver and work in the Pacific Time zone (PT). Our processes are optimized for remote collaboration so we accept candidates from anywhere as long as there is some overlap with PT work hours.

CandidateRequirements
  • Masters degree or equivalent achievement in computer science, artificial intelligence or data science.
  • Excellent verbal and technical writing skills to document and present your ideas to both technical and non-technical stakeholders
  • Assess value, develop use cases, and prioritize stories, epics and initiatives to ensure work focuses on those with maximum value that are aligned with product strategy
  • As part of the Product organization, help transition the business requirements to technical requirements, including technical user cases, algorithms and data specifications
  • Design and implement tools, systems and pipelines for different Phases of Data Science / Natural Language Understanding projects as required
  • Develop tools for Gathering data from logs/transcripts/crowd sourced methods, Processing cleaning and preparing data
  • Design, configure and develop machine learning algorithms for detecting patterns in user behavior
  • Constantly research, learn and evaluate new AI technologies, and how to incorporate them to improve our product
  • Experienced in common technologies used by data science team, such as Python and SQL, and experience with deep learning theory and application using pytorch, Tensorflow or other deep learning frameworks 
  • Experience using large language models (LLMs) such as BERT or GPT
  • Experience with supervised and unsupervised deep learning systems/theories/frameworks.
  • Bonus: Experience with virtual assistants or conversational AI

We are always curious and hungry for knowledge here at Glia. Even if you don’t meet all of the requirements exactly, we encourage you to apply as long as you are passionate about mastering your craft and developing your skills.

  • Glia stock options and competitive salary
  • Diversity: 18 languages and 15 countries represented.
  • Different options for your working preferences (office, remote, flexible)
  • Access to all the latest tools and equipment you’ll need
  • Sports compensation, reimbursement for therapy, counseling sessions
  • Team events: annual employee awards, internal hackathons, and a dozen cool events from cooking to the Glia olympic games :)

*Glia is an equal opportunity employer. Glia does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law.

The Employee Experience Below at Glia, Compared to a Typical U.S. Based Company

94% of employees at Glia say it is a great place to work compared to 54% of employees at a typical U.S.-based company.

Source: Great Place to Work 2023 Global Employee Engagement Study.

100%

Our customers would rate the service we deliver as "excellent".

98%

When you join the company, you are made to feel welcome.

97%

I am treated as a full member here regardless of my position.

96%

People here are given a lot of responsibility.

96%

Our facilities contribute to a good working environment.

To help businesses reinvent how they support customers in a digital world.

Customers should be able to engage with a brand from where they’re most comfortable and move seamlessly to other modes of communication as needed. Brands should be able to see the customer’s screen to instantly understand the customers’ point of view, and be their co-pilot to a satisfying experience.

Glia’s Digital Customer Service solution brings the in-person experience to all customer interactions - whether they start online or on the phone.
Learn All About Glia

Find out why we are one of the best places to work

Have questions about applying and working at Glia?

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