Machine Learning Developer

This role is eligible for our hybrid work model: Two days in-office.

The Search Platform at Priceline is the intelligence layer behind how millions of travelers discover and book hotels, flights, rental cars, and packages every day. It powers the search, ranking, and recommendation systems across Priceline’s web, app, and conversational interfaces (like Penny chatbot) — ensuring that every customer finds the most relevant and personalized options, fast.

Our Data Science/ML team is where smart solutions get created for the company. We build machine learning powered products that provide a core competitive edge over our competitors and they also contribute to the success of our business partners. We take pride in being excellent at our craft and employing our skills to the benefit of our customers. If you thrive in a fast-paced, ideas-led environment, you’re in the right place.

Why this job’s a big deal:

Have the opportunity to design new machine learning models and build new machine learning products in a small but growing team within a large organization. Work at a company where the business is increasing investment in Machine Learning solutions and sees the solutions as a competitive advantage. Solve real world problems that span various domains within our business such as: Search optimization, NLP, Computer Vision, Sales forecasting, Hypothesis testing.

In this role you will get to:

Develop, productionize and maintain machine learning models on large, noisy datasets to solve business problems.

Work with big, noisy and novel datasets.

Research and design your own solutions

Evaluate and improve existing machine learning models

Work alongside data scientists and developers to integrate machine learning solutions into production platforms

Understand business requirements from non-technical team members

Present technical solutions to non-technical team members

Python, Tensorflow, Keras, Spark, Numpy, Pandas, Spacy and many other tools and libraries

We train our models using Google's Vertex AI

We process large quantities of data streamed from many different applications to test and build our models

We leverage VertexAI Platform to assist in labeling tasks

Who you are:

Bachelor’s or Master's degree in a quantitative field such as Computer Science, Machine Learning / AI, Mathematics, Physics, Statistics, etc.

3+ years of experience with demonstrated technical skills in one or more of the following areas: NLP, Classification, Statistical Modelling, Deep Learning and Forecasting.

Experience in implementing artificial intelligence/machine learning solutions in Python and PyTorch, scikit-learn.

Professional experience developing machine learning models

Experience working with Spark/Pyspark on large and noisy datasets and the steps it takes normalize and cleanse them

Experience evaluating and improving existing machine learning models

Eagerness to learn new techniques, technologies, solve problems and contribute in a team environment

Experience with Tensorflow, Keras, Pandas, Numpy and Flask

Experience with data engineering and ETL pipelines using Airflow, Spark, Kafka, or similar.

Hands-on with feature store design, embedding models, or learning-to-rank techniques (e.g., XGBoost, LightGBM, deep LTR)

Illustrated history of living the values necessary to Priceline: Customer, Innovation, Team, Accountability and Trust.

The Right Results, the Right Way is not just a motto at Priceline; it’s a way of life. Unquestionable integrity and ethics is essential.

Nice-to-Haves

Experience in search or recommendation systems within e-commerce or travel domains.

Familiarity with LLMs and retrieval-augmented generation (RAG) for search/chat use cases.

Experience with solrSearch, Vector Search, LangChain, or Vertex AI.

Exposure to real-time inference and streaming data pipelines (Kafka, Spark, Flink).
Background in user behavior modeling and causal inference for ranking.

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