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Senior Machine Learning Engineer Computer Vision
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Senior Machine Learn....
drjobs Senior Machine Learning Engineer Computer Vision العربية

Senior Machine Learning Engineer Computer Vision

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1 Vacancy
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Job Location

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Lisbon - Portugal

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 2615813

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.

The Tripadvisor Machine Learning Team is looking for an exceptional individual to help design and build next generation computer vision systems that model how travelers interact with the various products on the site. Such models will allow a significant improvement in our ability to offer our travelers the most tailored and personalized travel products across a variety of verticals including hotels restaurants experiences etc. (e.g. showing the top familyfriendly beachfront properties in Cancun). As a Machine Learning Engineer working in this space you will have the opportunity to apply your modeling and engineering skills to a number of different areas including (but not limited to) image understanding sorting and recommendation and content moderation with a particular focus on computer vision generative AI and system design.

Tripadvisor is the webs leading travel information site. At Tripadvisor the Data Science and ML 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 including recommenders computer vision and natural language processing. 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!

Skills & Experience:

  • PhD or Masters in Computer Science Engineering Statistics or related field preferred
  • 4 years of industry experience developing deep learning models at scale from inception to production
  • Strong software engineering skills
  • Strong background in machine learning deep learning and computer vision
  • Solid foundation in data structures and algorithms
  • Proficiency in a mainstream Python deep learning framework: PyTorch Tensorflow or Keras
  • Proficiency in Python for numerical / statistical programming (pandas numpy scikitlearn and tools like Jupyter notebooks)
  • Ability to write complex SQL queries
  • Experience with big data technologies such as Snowflake and Spark
  • Knowledge of A/B test design and analysis
  • Experience with prompt engineering preferred

What Youll Do:

  • Implement cutting edge deep learning and generative AI models in semantic segmentation object detection image classification content creation etc. to solve a variety of core business problems
  • Harness our database of over 600M images to train new models
  • Automate ETL pipelines
  • Prototype evaluate deploy and maintain new models in production
  • Design A/B tests and analyze their results
  • Communicate progress and interpretation of experimental results to technical and business stakeholders
  • Plan and brainstorm future projects

What Youll Get:

Highly competitive salary along with the following:

  • Annual bonus
  • Stock options
  • Excellent contributory pension
  • Full family private medical cover
  • Full dental cover
  • Annual wellbeing allowance (e.g. gym membership Apple Watch etc.)
  • Complimentary Tripadvisor Plus membership
  • Personal travel reimbursement and other travel discounts
  • Critical illness plus full life cover
  • Employee assistance program

If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability please reach out to your individual recruiter or send an email to and let us know the nature of your request . Please include the job requisition number in your message.

#LIGW1

Employment Type

Full Time

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