Senior Machine Learning Engineer

This role is eligible for our hybrid work model: Two 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:

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

·        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 AWS Sagemaker and deploy services in Kubernetes

·        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

·        8+ 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 AWS (Sagemaker, Athena, Lambda, IAM, EKS) 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.

Who we areWE 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 Booking.com, 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.

Diversity and Inclusion are a Big Deal!

To be the best travel dealmakers in the world, it’s important we have a workforce that reflects the diverse 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 you to join us and add to our rich mix! 

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