Data Engineer jobs in Canada

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

Senior Machine Learning Developer

Our Data 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.

Our Data AI/ML Engineering team builds intelligent, scalable, and reliable systems that power decision-making and personalization at Priceline. We’re expanding our Machine Learning Platform to accelerate innovation, democratize AI adoption across teams, and bring cutting‑edge ML and GenAI capabilities into production.

You’ll have the opportunity to design, build, and scale machine learning models, pipelines, and platform components in a high‑impact environment. From model experimentation to LLMOps, from feature engineering to deployment frameworks—you’ll help shape the next generation of Priceline’s AI platform.

Model Development & Delivery

• Develop, productionize, and maintain machine learning models on large, complex datasets to solve business problems across pricing, personalization, forecasting, NLP, and vision domains.

• Research, experiment, and design your own model architectures and improve existing ones.

• Partner with data scientists to deploy and operationalize ML models for large-scale, low‑latency production systems.

ML Platform & MLOps Engineering

• Build and enhance ML pipelines for training, evaluation, and deployment using frameworks such as Vertex AI

• Design and implement CI/CD for ML (AutoMLOps) including model versioning, feature management, and automated retraining.

• Develop tools and frameworks to streamline data ingestion, feature extraction, and model registry integration.

• Work with orchestration tools like Airflow, Cloud Composer, or Kubeflow for workflow automation and monitoring.

LLMOps & Responsible AI

• Collaborate on building guardrails and observability frameworks for LLMs—covering evaluation (evals), prompt management, safety, and cost optimization.

• Design scalable evaluation pipelines for LLM‑based agents and integrate monitoring tools (e.g., Arize, LangSmith, LiteLLM).

• Contribute to frameworks enabling secure, policy‑aligned, and explainable AI deployments.

Collaboration & Impact

• Partner closely with data engineers, platform engineers, and product teams to embed ML and GenAI capabilities into Priceline’s core products.

• Translate complex technical insights into clear, actionable recommendations for business and product stakeholders.

• Drive best practices in code quality, observability, and responsible AI across the ML lifecycle.

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

• 6+ years of commercial/academic 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 Tensorflow

• Professional experience developing software or 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

• Familiarity with AWS (Sagemaker, Athena, Lambda, IAM, EKS)

• Experience with Tensorflow, Keras, Pandas, Numpy and Flask

• 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

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 Booking.com, BookingGo, Agoda, Kayak and OpenTable.

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

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.

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.

We’re excited that you are interested in a career with us. For all current employees, please use the internal portal to find jobs and apply.

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