drjobs Machine Learning Scientist II Moderation Fraud

Machine Learning Scientist II Moderation Fraud

Employer Active

1 Vacancy
The job posting is outdated and position may be filled
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Lisbon - Portugal

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

We believe that we are better together and at Tripadvisor we welcome you for who you are. Our workplace is for everyone as is our people powered platform. At Tripadvisor we want you to bring your unique identities abilities and experiences so we can collectively revolutionize travel and together find the good out there.

At Tripadvisor we never stop learning. This is true both individually and as a company where constant experimentation helps us to understand how we can continue to grow and improve the user experience for our 500 million unique monthly visitors worldwide. Datadriven decision making is at the core of what we do.

Location: Please note this position will be either office hybrid or remotebased within Portugal.

About Machine Learning at Tripadvisor

Tripadvisor is the webs leading travel information site. At Tripadvisor the Machine Learning Team creates systems that influence the travel decisions of millions of people per day. It applies cutting edge machine learning techniques to a wide variety of areas such as personalization recommenders computer vision and natural language processing (NLP). To ensure continued success Tripadvisor promotes a culture of personal development including social activities journal clubs memberships in online learning resources and participation in industry conferences. Have a great time while shaping the future of travel!

What You Will Be Doing

As a Machine Learning Scientist specializing in content moderation and fraud detection you will play a pivotal role in shaping the future of our content integrity and user experience at Tripadvisor. You will be responsible for designing and implementing advanced machine learning models aimed at assessing the fairness reliability and validity of usergenerated content. Your work will directly impact how travelers interact with our platform ensuring they receive high quality trustworthy information and recommendations.

You will collaborate closely with crossfunctional teams including content specialists/analysts software engineers and product managers to translate complex data into actionable insights. Your insights will guide the development of robust systems that enhance user trust and satisfaction. We seek someone with a deep understanding of machine learning principles strong analytical skills and a passion for creating equitable and impactful solutions.

Skills & Experience

  • Advanced degree in Computer Science Engineering Statistics or a related field.
  • Strong background in machine learning and statistics.
  • Solid foundation on data structures and algorithms.
  • Ability to write complex SQL queries. Experience with Snowflake is a bonus.
  • Proficiency in Python.
  • At least 2 years of relevant practical experience.
  • Experience with MLOps processes platforms and tools.
  • Bonus Experience with fraud detection and content moderation.
  • Bonus Experience with LLMs and GAI models including prompt engineering techniques such as Nshot prompting Chain of Thought (CoT) prompting and RetrievalAugmented Generation (RAG).
  • Bonus Experience with deep learning modern NLP & machine vision techniques.

We strive to create an accessible and inclusive experience for all candidates.

Employment Type

Full Time

Company Industry

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.