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Applied Scientist

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Qualtrics

2mo ago

  • Job
    Full-time
    Junior Level
  • Data
    IT & Cybersecurity
  • Richmond Hill

AI generated summary

  • You need a Bachelor's in Computer Science, 2+ years in ML/NLP, expertise in deep learning (TensorFlow/PyTorch), coding (Python), and experience with ML systems. Publications in top-tier conferences are preferred.
  • You will research, implement, and optimize machine learning models, collaborate with teams, present findings, and engage in design reviews and technical discussions.

Requirements

  • Bachelors in Computer Science or related fields
  • Solid understanding of machine learning fundamentals and tool ecosystem
  • 2+ years of combined academic and industrial research experience in machine learning, NLP, information retrieval, deep learning or a related field.
  • Deep learning implementation expertise (TensorFlow, PyTorch etc)
  • Excellent command of at least one modern programming language (preferably Python)
  • Graduate degree in computer science or related fields
  • Deep understanding of machine learning model life cycle management
  • Depth in one or more of the following: Natural Language processing, information retrieval, speech processing, deep learning, reinforcement learning, etc.
  • Knowledge of or experience in building production quality and large scale deployment of applications related to machine learning
  • Comfortable working in a fast paced, highly collaborative, dynamic work environment.
  • Experience in machine learning systems (e.g. SageMaker, MLFlow), and deep learning frameworks (e.g. TensorFlow, PyTorch, MXNet etc)
  • Preference for a publication record in top-tier ML and NLP conferences (e.g. NeurIPS, ICML, SIGIR, ICLR, ACL, EMNLP, etc.)

Responsibilities

  • Work as part of a multidisciplinary team to research, implement, evaluate, optimize, productize and maintain cutting-edge machine learning models to meet the demands of our rapidly growing business
  • Stay on top of the latest developments in machine learning and related research, and present research findings with the broader community
  • Work closely with, and incorporate feedback from other specialists, engineers, and product managers
  • Lead and engage in design reviews, modeling discussions, requirement definitions and other technical activities in diverse capacity

FAQs

What is the primary goal for the Applied Scientist role at Qualtrics?

The primary goal is to personalize the Qualtrics experience by leveraging machine learning (ML) and artificial intelligence (AI) features to showcase Qualtrics data as a core value proposition and competitive advantage.

What programming languages should I be proficient in for this role?

You should have excellent command of at least one modern programming language, preferably Python, and strong programming skills in it.

What types of machine learning techniques are relevant for this position?

The Applied Scientist role requires knowledge of both supervised and unsupervised learning techniques and their applications in building intelligent systems, including specialties like natural language processing, deep learning, and reinforcement learning.

What qualifications are required for this position?

A Bachelor’s degree in Computer Science or related fields is required, along with 2+ years of combined academic and industrial research experience in relevant machine learning domains. A graduate degree is preferred.

What deep learning frameworks should I be familiar with?

Familiarity with deep learning frameworks such as TensorFlow and PyTorch is essential for this role.

How does the team approach collaboration?

The team works in a highly collaborative and agile environment, encouraging interaction with multidisciplinary teams, including specialists, engineers, and product managers.

What kind of projects will I work on as an Applied Scientist?

You will work on researching, implementing, evaluating, optimizing, productizing, and maintaining cutting-edge machine learning models to meet business demands.

What is the importance of ethical standards in this role?

There is a strong commitment to developing GenAI applications that adhere to ethical standards, promote positive societal impact, and minimize potential risks associated with AI technologies.

Are there opportunities for professional growth within the company?

Yes, Qualtrics offers numerous opportunities for professional growth, including mentorship programs and communities oriented towards support, allyship, and advocacy.

What types of projects does the Data Intelligence Center of Excellence (DICE) focus on?

DICE focuses on AI/ML research and development services, identifying business needs, defining strategies for AI technologies, and conducting rigorous ML modeling aligned with customer business problems.

What does the application and interview process look like for this role?

If reasonable accommodations are needed to participate in the job application or interview process, applicants can inform their Qualtrics contact or recruiter to ensure proper support.

What is the preferred background for candidates regarding research publications?

Preference is given to candidates with a publication record in top-tier machine learning and natural language processing conferences such as NeurIPS, ICML, SIGIR, ICLR, ACL, or EMNLP.

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Qualtrics

Technology
Industry
5001-10,000
Employees
2002
Founded Year

Mission & Purpose

How do you turn a customer into a fanatic? An employee into an ambassador? A product into an obsession? A brand into a religion? With experiences. The write-home, tell-everyone-you-know kind of experiences. Qualtrics Experience Management (XM) is the only software platform that helps brands continually assess the quality of their four core experiences—customers, employees, products, and brands. With Qualtrics XM, organizations can be at every meaningful touchpoint, for every experience, and predict which changes will resonate most with stakeholders. At Qualtrics, our mission is to close the experience gap.