MENU
  • Remote Jobs
  • Companies
  • Go Premium
  • Job Alerts
  • Post a Job
  • Log in
  • Sign up
Working Nomads logo Working Nomads
  • Remote Jobs
  • Companies
  • Post Jobs
  • Go Premium
  • Get Free Job Alerts
  • Log in

Machine Learning Engineer I - GenAI

Tripadvisor

Full-time
Portugal
machine learning
engineer
python
computer science
prompt engineering
Apply for this position

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.

About the Role

The Tripadvisor GenAI Team is looking for an exceptional individual to design and develop the next-generation AI systems to understand our travelers and products to improve customer experience.  Such work will allow a significant improvement in our ability to offer travelers the broadest, most relevant travel products. This individual will have the opportunity to lead projects on the team, including those related to NLP, recommendations, topic detection, and more.

 

Tripadvisor is the web's 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, including recommenders, vision, information retrieval, 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!

 

Location: Please note, this position will be either office, hybrid or remote-based within Portugal. 

 

What You Will Do

  • Collaborate with senior members of the team to design, implement, and deploy machine learning models and systems.

  • Participate in all stages of the machine learning development lifecycle, from data collection and preprocessing to model evaluation and deployment.

  • Work closely with cross-functional teams to understand business requirements and translate them into machine learning solutions.

  • Contribute to the improvement of existing machine learning pipelines and infrastructure.

  • Stay up-to-date with the latest trends and technologies in machine learning and share knowledge with the team.

 

Who You Are

  • You are an experienced machine learning engineer with experience in developing and deploying machine learning models.

  • You have a solid understanding of machine learning concepts and algorithms, with hands-on experience using generative AI to solve real-world problems.

  • You have strong problem-solving skills and attention to detail.

  • You are eager to learn and grow in a collaborative team environment.

  • You have good communication skills and can effectively communicate technical concepts to both technical and non-technical stakeholders.

 

Skills & Experience

  • Master's degree in Computer Science, Engineering, Mathematics, or a related field.

  • 2+ years of experience in machine learning engineering or a related field.

  • Proficiency in Python and experience with machine learning libraries such as PyTorch/TensorFlow/Jax, spaCy, NLTK, Hugging Face Transformers, LangGraph, etc.

  • Knowledge in integrating generative AI models, prompt engineering, model tuning, and working with LLMs and AI agents.

  • Strong understanding of machine learning algorithms and techniques, including deep learning, reinforcement learning, and natural language processing.

  • Experience with data preprocessing, feature engineering, and model evaluation.

  • Knowledge of software development best practices, version control systems, and collaborative coding workflows, CI/CD, and automated testing.

  • Excellent communication and teamwork skills, with the ability to work effectively in a collaborative environment.

 

We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at recruitment@tripadvisor.com 

 

 

 

#LI-GW1

Apply for this position
Bookmark Report

About the job

Full-time
Portugal
2 Applicants
Posted 5 days ago
machine learning
engineer
python
computer science
prompt engineering

Apply for this position

Bookmark
Report
Enhancv advertisement

30,000+
REMOTE JOBS

Unlock access to our database and
kickstart your remote career
Join Premium

Machine Learning Engineer I - GenAI

Tripadvisor

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.

About the Role

The Tripadvisor GenAI Team is looking for an exceptional individual to design and develop the next-generation AI systems to understand our travelers and products to improve customer experience.  Such work will allow a significant improvement in our ability to offer travelers the broadest, most relevant travel products. This individual will have the opportunity to lead projects on the team, including those related to NLP, recommendations, topic detection, and more.

 

Tripadvisor is the web's 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, including recommenders, vision, information retrieval, 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!

 

Location: Please note, this position will be either office, hybrid or remote-based within Portugal. 

 

What You Will Do

  • Collaborate with senior members of the team to design, implement, and deploy machine learning models and systems.

  • Participate in all stages of the machine learning development lifecycle, from data collection and preprocessing to model evaluation and deployment.

  • Work closely with cross-functional teams to understand business requirements and translate them into machine learning solutions.

  • Contribute to the improvement of existing machine learning pipelines and infrastructure.

  • Stay up-to-date with the latest trends and technologies in machine learning and share knowledge with the team.

 

Who You Are

  • You are an experienced machine learning engineer with experience in developing and deploying machine learning models.

  • You have a solid understanding of machine learning concepts and algorithms, with hands-on experience using generative AI to solve real-world problems.

  • You have strong problem-solving skills and attention to detail.

  • You are eager to learn and grow in a collaborative team environment.

  • You have good communication skills and can effectively communicate technical concepts to both technical and non-technical stakeholders.

 

Skills & Experience

  • Master's degree in Computer Science, Engineering, Mathematics, or a related field.

  • 2+ years of experience in machine learning engineering or a related field.

  • Proficiency in Python and experience with machine learning libraries such as PyTorch/TensorFlow/Jax, spaCy, NLTK, Hugging Face Transformers, LangGraph, etc.

  • Knowledge in integrating generative AI models, prompt engineering, model tuning, and working with LLMs and AI agents.

  • Strong understanding of machine learning algorithms and techniques, including deep learning, reinforcement learning, and natural language processing.

  • Experience with data preprocessing, feature engineering, and model evaluation.

  • Knowledge of software development best practices, version control systems, and collaborative coding workflows, CI/CD, and automated testing.

  • Excellent communication and teamwork skills, with the ability to work effectively in a collaborative environment.

 

We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at recruitment@tripadvisor.com 

 

 

 

#LI-GW1

Working Nomads

Post Jobs
Premium Subscription
Sponsorship
Free Job Alerts

Job Skills
API
FAQ
Privacy policy
Terms and conditions
Contact us
About us

Jobs by Category

Remote Administration jobs
Remote Consulting jobs
Remote Customer Success jobs
Remote Development jobs
Remote Design jobs
Remote Education jobs
Remote Finance jobs
Remote Legal jobs
Remote Healthcare jobs
Remote Human Resources jobs
Remote Management jobs
Remote Marketing jobs
Remote Sales jobs
Remote System Administration jobs
Remote Writing jobs

Jobs by Position Type

Remote Full-time jobs
Remote Part-time jobs
Remote Contract jobs

Jobs by Region

Remote jobs Anywhere
Remote jobs North America
Remote jobs Latin America
Remote jobs Europe
Remote jobs Middle East
Remote jobs Africa
Remote jobs APAC

Jobs by Skill

Remote Accounting jobs
Remote Assistant jobs
Remote Copywriting jobs
Remote Cyber Security jobs
Remote Data Analyst jobs
Remote Data Entry jobs
Remote English jobs
Remote Spanish jobs
Remote Project Management jobs
Remote QA jobs
Remote SEO jobs

Jobs by Country

Remote jobs Australia
Remote jobs Argentina
Remote jobs Brazil
Remote jobs Canada
Remote jobs Colombia
Remote jobs France
Remote jobs Germany
Remote jobs Ireland
Remote jobs India
Remote jobs Japan
Remote jobs Mexico
Remote jobs Netherlands
Remote jobs New Zealand
Remote jobs Philippines
Remote jobs Poland
Remote jobs Portugal
Remote jobs Singapore
Remote jobs Spain
Remote jobs UK
Remote jobs USA


Working Nomads curates remote digital jobs from around the web.

© 2025 Working Nomads.