Machine Learning Developer

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

Technologies Used

• 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.

Who We Are
WE ARE PRICELINE.

Our success as one of the biggest players in online travel is all thanks to our incredible, dedicated team of talented employees. Priceliners are focused on being the best travel deal makers in the world, motivated by our passion to help everyone experience the moments that matter most in their lives. Whether it's a dream vacation, your cousin's graduation, or your best friend's wedding - we make travel affordable and accessible to our customers.

Our culture is unique and inspiring (that's what our employees tell us). We're a grown-up, startup. We deliver the excitement of a new venture, without the struggles and chaos that can come with a business that hasn't stabilized.

We're on the cutting edge of innovative technologies. We keep the customer at the center of all that we do. Our ability to meet their needs relies on the strength of a workforce as diverse as the customers we serve. We bring together employees from all walks of life and we are proud to provide the kind of inclusive environment that stimulates innovation, creativity and collaboration.

Priceline is part of the Booking Holdings, Inc. (Nasdaq: BKNG) family of companies, a highly profitable global online travel company with a market capitalization of over $80 billion. Our sister companies include , BookingGo, Agoda, Kayak and OpenTable.

If you want to be part of something truly special, check us out

Flexible work at Priceline
Priceline is following a hybrid working model, which includes two days onsite as determined by you and your manager (ideally selecting among Tuesday, Wednesday, or Thursday). On the remaining days, you can choose to be remote or in the office.

Inclusion is a Big Deal
To be the best travel dealmakers in the world, we believe our team should reflect the broad range of customers and communities we serve. We are committed to cultivating a culture where all employees have the freedom to bring their individual perspectives, life experiences, and passion to work.

Priceline is a proud equal opportunity employer. We embrace and celebrate the unique lenses through which our employees see the world. We'd love for you to join us and help shape what makes our team extraordinary.

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