Machine Learning Engineer II - GenAI (LLM, NLP, AI/ML Search & Discovery)

Tripadvisor · Portugal

Company

Tripadvisor

Location

Portugal

Type

Full Time

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.

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: This position is available for remote work throughout Portugal. Applicants must have the right to work in Portugal and if residing abroad must be willing to relocate to 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 in at least one framework such as TensorFlow or PyTorch.

  • 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.

Qualifications

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

  • 3+ 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 etc.

  • Familiarity with 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.

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 [email protected] and let us know the nature of your request. Please include the job requisition number in your message.

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Date Posted

05/05/2024

Views

13

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