At a Glance
- Tasks: Join our team to innovate NLP solutions for eCommerce product catalogs.
- Company: Be part of a leading eCommerce giant transforming online shopping experiences.
- Benefits: Enjoy a competitive salary and the chance to work with cutting-edge technologies.
- Why this job: Make a real impact in language understanding while collaborating with top-tier scientists.
- Qualifications: PhD in NLP with 1+ years of industry experience and Python/Pytorch skills required.
- Other info: Opportunity to work on advanced ML techniques and customer behavior data.
The predicted salary is between 42000 - 72000 £ per year.
Company: Leading eCommerce Giant
Salary: $70,000-120,000USD
Requirements: NLP PhD with 1+ years industry experience + Python/Pytorch experience.
Department Overview
- The Language program, a core science initiative, aims to utilize advanced NLP and ML technologies to automatically generate structured product catalogs from unstructured product titles, descriptions, and images.
- We seek to enhance our language understanding capabilities by incorporating weakly supervised, semi-supervised, and unsupervised techniques, as well as signals from non-traditional sources like customer behavior data.
- Our objective is to create a well-organized product catalog that leverages these advanced technologies and methodologies.
- We are looking for highly motivated research scientists with a robust background in NLP to join and contribute to the success of the Language program.
NLP Senior Scientist (PhD) employer: Huxley
Contact Detail:
Huxley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land NLP Senior Scientist (PhD)
✨Tip Number 1
Make sure to showcase your experience with NLP and ML technologies in your conversations. Highlight any projects where you've utilized weakly supervised or semi-supervised techniques, as this aligns closely with our goals.
✨Tip Number 2
Familiarize yourself with our current language understanding capabilities and think about how you can contribute to enhancing them. Prepare some ideas or examples of how you've tackled similar challenges in the past.
✨Tip Number 3
Since we value collaboration, be ready to discuss how you've worked in teams before. Share experiences where you successfully collaborated with others to achieve a common goal, especially in an industry setting.
✨Tip Number 4
Stay updated on the latest trends in NLP and eCommerce. Being knowledgeable about recent advancements can help you stand out during discussions and show your passion for the field.
We think you need these skills to ace NLP Senior Scientist (PhD)
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your PhD in NLP and any industry experience you have. Detail specific projects or roles where you utilized Python and PyTorch, as this is crucial for the position.
Showcase Your Skills: Clearly outline your skills in advanced NLP techniques, including weakly supervised, semi-supervised, and unsupervised methods. Mention any experience with customer behavior data and how it relates to product cataloging.
Tailor Your Application: Customize your CV and cover letter to reflect the job description. Use keywords from the listing to demonstrate that you understand the role and its requirements.
Express Your Motivation: In your cover letter, convey your enthusiasm for the Language program and the opportunity to contribute to the eCommerce giant's goals. Share why you are passionate about advancing NLP technologies.
How to prepare for a job interview at Huxley
✨Showcase Your NLP Expertise
Be prepared to discuss your PhD research in detail, especially any projects that involved advanced NLP techniques. Highlight how your work aligns with the company's goal of enhancing language understanding capabilities.
✨Demonstrate Practical Experience
Since the role requires industry experience, be ready to share specific examples of how you've applied your NLP knowledge in a professional setting. Discuss any projects where you utilized Python and PyTorch to solve real-world problems.
✨Understand the Company's Objectives
Research the company’s Language program and familiarize yourself with their approach to creating structured product catalogs. Be prepared to discuss how your skills can contribute to their initiatives involving weakly supervised and unsupervised techniques.
✨Prepare for Technical Questions
Expect technical questions related to NLP methodologies and machine learning algorithms. Brush up on key concepts and be ready to explain your thought process when tackling complex problems, as this will demonstrate your analytical skills.