Machine Learning Engineer II (User Modelling & Targeting)
London, UK
Applications have closed
TripAdvisor
Plan your next trip, read reviews and get travel advice from our community on where to stay and what to do. Find savings on hotels, book the perfect tour or attraction, and reserve a table at the best restaurants.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.
Tripadvisor is looking for an exceptional scientist to join our dynamic and fast paced Machine Learning Team, focusing primarily on the user behavior modeling, segmentation and targeting for Tripadvisor’s Media and Marketing businesses. We have over 400M+ travelers who visit Tripadvisor monthly, looking for travel inspiration and guidance and to share their travel experiences. We seek to analyze and understand the interests, preferences and behaviors of our users, so that we can present them with relevant marketing and media/advertising content with the ultimate goal of driving up the user engagement and marketing + advertising revenues.
As a Machine Learning Scientist working in this space, you will have the opportunity to apply your modeling and engineering skills to solve a wide variety of customer segmentation problems and to devise associated targeting strategies to deploy those segments in various marketing and advertising campaigns. To achieve this, you will have access to a wide variety of development tools and huge data sets. You will also have the opportunity to deploy your solutions online and be able to observe the impact of your work in real time as you help the company grow.
We are looking for someone who is independent, curious, and motivated; who likes discussing ideas and will bring something new to the table. You will be working in a diverse environment where you’ll collaborate with a broad multidisciplinary team of ML scientists, analysts, software engineers, and product managers. You’ll be encouraged to take ownership of your projects and to find new opportunities and problems where machine learning could be applied to improve the business. Finally, you will also be provided the environment to grow technically and personally into a leader while contributing to the team.
Tripadvisor is the web's leading travel information site. At Tripadvisor, the ML Team creates high impact systems that influence the travel decisions of millions of people per day. We apply cutting edge machine learning techniques to a wide variety of areas, including recommenders, online advertising, vision, text processing, 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!
What You Will Do:
- Partner with Stakeholders to understand business objectives and create product requirements and specification documents for new features and products
- Explore our huge data lake to identify right sources of data by analyzing its content and relevance to the business problem
- Participate in the design of machine learning models to solve a variety of core business problems around user segmentation and targeting for the Marketing and Advertising businesses
- Prototype, evaluate, deploy and maintain new models in production, collaborating with the product and engineering teams
- Design experiments to evaluate the efficacy of our user models and targeting strategies in Marketing & Advertising campaigns and analyze their results
- Communicate progress and interpretation of experimental results to technical and business stakeholders
- Participate in the determination of next steps for each project
- Seek out opportunities to apply data science and machine learning to optimize existing user targeting strategies and/or identify new targeting strategies that drive revenues
- Discover new ways to analyze and interpret the data
Skills & Experience:
- PhD or Masters in Computer Science, Engineering, Statistics, or related field preferred
- For Masters candidates, 2+ years of relevant, practical experience
- Strong foundation in machine learning and statistics
- Proficiency in Python for numerical/statistical programming (our group relies heavily on Numpy/Pandas/Scikit-learn)
- Ability to interpret and write complex SQL queries
- Experience with big data technologies, such as Hive and Spark
- Experience with the deployment and maintenance of models - tools like Kubernetes, MLflow, AWS, etc.
If you need 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 AccessibleRecruiting@Tripadvisor.com and let us know the nature of your request. Please include the job requisition number in your message.
#L-AMCVAY
#LI-Remote
#LI-Hybrid
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Big Data Computer Science Engineering Kubernetes Machine Learning MLFlow ML models NLP NumPy Pandas PhD Python Scikit-learn Spark SQL Statistics
Perks/benefits: Career development Conferences Flex vacation
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Azure Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open Databricks-related jobs
- Open Data warehouse-related jobs