Principal Engineer, AI & Machine Learning

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

Our Data Science 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: Price optimization, Sales forecasting, Hypothesis testing.

In this role you will get to:

• Define and drive the long-term technical strategy for machine learning, GenAI, and platform capabilities across the organization

• Provide deep technical leadership on ML architecture, system design, and production ML best practices

• Lead the development and deployment of advanced ML solutions across a variety of domains such as NLP, GenAI, Computer Vision, Optimization, and Forecasting

• Guide product teams and executives in understanding ML/AI opportunities, limitations, and risk mitigation

• Mentor and upskill senior engineers and data scientists; foster a culture of technical excellence and experimentation

• Design and scale self-service ML platforms and CI/CD pipelines to enable rapid experimentation and deployment across teams

• Architect and lead the implementation of robust, low-latency model deployment systems and feature stores

• Oversee productionization of models, including monitoring, A/B testing frameworks, and feedback loops

• Lead cross-functional initiatives to optimize data quality, ML reliability, and system scalability

• Collaborate closely with infrastructure, data, and product engineering teams to align ML systems with evolving business goals

Technologies used:

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

• We train our models using GCP Vertex and deploy services in Kubernetes and using GCP.

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

Who you are:

• Masters or PhD qualification in a quantitative field such as Computer Science, Machine Learning/ AI, Mathematics, Physics, Statistics, etc

• 10+ years of experience in machine learning, data science, or a related field.

• Extensive experience in developing and deploying machine learning models in a production environment and data pipelines.

• Proficiency in Python

• Strong understanding of machine learning algorithms, statistical methods, data preprocessing techniques and experiment design.

• Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.

• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and big data technologies (e.g., Spark).

• Excellent communication and interpersonal skills.

• Strong problem-solving and analytical abilities.

• Ability to work effectively in a fast-paced, collaborative environment.

• Strategic thinker with a passion for innovation and continuous learning.

• Illustrated history of living the Priceline values:  Customer-focus, Innovation, Team-orientation, Accountability, and Trust. 

• Experience with Pricing Modeling and/or Experience in the Hotel or B2B space preferred but not required. 

• Familiarity with GCP Vertex AI preferred

• 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. 

#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 $205,000 – 255,000 USD.