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-HavesExperience 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.
#LI-JB1 #LI-Hybrid
There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. In addition to a competitive base salary, certain roles may be eligible for an annual bonus and/or equity grant.
The salary range for this position is $155,000-180,000 CAD.
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