Senior Machine Learning Developer

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.

Why this job’s a big deal:

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.

In this role you will get to:

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.

Who you are:

• 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