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For Companies At a Glance
- Tasks: Join our team to develop cutting-edge NLP solutions for eCommerce.
- Company: Be part of a leading eCommerce giant transforming online shopping.
- Benefits: Enjoy a competitive salary and the chance to work with advanced technologies.
- Why this job: Contribute to impactful projects that enhance language understanding in a dynamic environment.
- Qualifications: PhD in NLP with industry experience and proficiency in Python/Pytorch required.
- Other info: Ideal for motivated researchers eager to innovate in the eCommerce space.
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.
Huxley | NLP Senior Scientist (PhD) employer: Huxley
Contact Detail:
Huxley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Huxley | NLP Senior Scientist (PhD)
✨Tip Number 1
Make sure to showcase your experience with NLP and machine learning in your conversations. Highlight specific projects where you've applied these technologies, especially if they relate to product cataloging or similar applications.
✨Tip Number 2
Familiarize yourself with the latest trends in weakly supervised and semi-supervised learning techniques. Being able to discuss recent advancements and how they can be applied to the company's goals will set you apart.
✨Tip Number 3
Prepare to discuss your Python and PyTorch skills in detail. Be ready to explain how you've used these tools in past projects, particularly in relation to NLP tasks.
✨Tip Number 4
Research the company’s current language initiatives and think about how your background can contribute to their objectives. Tailoring your insights to align with their goals will demonstrate your genuine interest in the position.
We think you need these skills to ace Huxley | NLP Senior Scientist (PhD)
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your NLP PhD 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: In your application, clearly outline your skills in advanced NLP techniques, including weakly supervised, semi-supervised, and unsupervised methods. Mention any experience with customer behavior data as well.
Tailor Your CV: Customize your CV to align with the job description. Use keywords from the posting, such as 'structured product catalogs' and 'language understanding capabilities', to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that not only summarizes your qualifications but also expresses your enthusiasm for the Language program. Discuss how your background can contribute to their objectives and the success of the team.
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 your experience with weakly supervised, semi-supervised, and unsupervised methods, as these are key to the role.
✨Demonstrate Python and PyTorch Skills
Since the job requires proficiency in Python and PyTorch, be ready to provide examples of how you've used these tools in your previous work. Consider discussing specific projects where you implemented machine learning models or NLP algorithms.
✨Understand the Company’s Language Program
Research the company's Language program and its objectives. Familiarize yourself with their approach to generating structured product catalogs and think about how your skills can contribute to enhancing their language understanding capabilities.
✨Prepare for Behavioral Questions
Expect questions about teamwork, problem-solving, and motivation. Prepare examples from your past experiences that demonstrate your ability to work collaboratively and tackle challenges, especially in a research environment.
