Senior Machine Learning Engineer / Team Lead - GenAI (Computer Vision)



Software Engineering
Portugal · United Kingdom · Remote
Posted on Tuesday, March 12, 2024

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 family-friendly 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 web's 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, scikit-learn, 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 You’ll 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 You’ll 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.