Associate AI/ML Developer
This role is eligible for our hybrid work model: Two days in-office.
About the team
The Global Platform Engineering team within Priceline’s Data & AI/ML product group powers some of Priceline’s most strategic initiatives by providing secure, scalable, and governed access to data, machine learning, and GenAI. We build core platforms that enable self-service development and deliver reliable, enterprise-ready solutions. If you enjoy working at the intersection of platform engineering and AI/ML at scale, this team offers a high-impact environment.
Why this job’s a big deal
As Priceline scales personalization, AI-driven optimization, and intelligent automation, a modern platform for data and AI/ML is mission-critical. In this role, you’ll help build and operate foundational systems that enable self-service AI/ML engineering, data engineering, MLOps/LLMOps, and GenAI workloads, while expanding access to trusted data and models. Your work will accelerate innovation across product and business teams at Priceline.
In this role, you will get to:
Build AI-powered platform frameworks and tooling
Build and maintain Python OOPS (object-oriented programming) services/frameworks and internal AI/ML platform tooling deployed to GKE with GitOps-based workflows.
Improve developer productivity around GenAI by delivering standard templates, reusable components, golden paths and self-serve workflows for AI/ML and GenAI use cases (e.g., RAG and Agentic AI agent-based patterns etc.) using modern AI multi-agent frameworks (e.g., LangChain/LangGraph/CrewAI/Autogen etc.).
Contribute to enterprise governance and enablement for the GenAI ecosystem via guardrails and observability for LLMs, prompt management, evaluation (evals), safety, and cost awareness. Help integrate monitoring and evaluation tooling (e.g., Arize, LangSmith, LiteLLM etc.) and support secure, policy-aligned deployments.
Support AI/ML pipelines and model lifecycle
Build, maintain, and troubleshoot AI/ML and GenAI pipelines, batch jobs, and workflows using tools such as Composer (Airflow), Vertex AI, Dataproc, Dataflow, and BigQuery etc.
Partner with infrastructure and security teams to incorporate enterprise security tooling into AI/ML workflows (e.g., NexusIQ, StackRox, Wiz etc.).
Help standardize LLMOps patterns using model gateways (e.g., Gemini Enterprise, LiteLLM, or similar) to enable governed model access.
Improve reliability, monitoring, and model quality
Support model/LLM monitoring practices such as drift/quality monitoring, embeddings monitoring, and evaluation (e.g., with Arize or similar).
Implement and maintain logging, alerting, and basic SLOs for AI/ML workloads and pipelines using tools like Splunk, New Relic, and PagerDuty.
Participate in incident response, root-cause analysis, and platform improvements to increase overall reliability and developer experience.
Who you are
Bachelor’s degree or higher in Computer Science or a related field (or equivalent practical experience).
2+ years of experience in Cloud-native software engineering.
Proficiency in Python (or a similar object-oriented language), with interest in building AI-powered services and tooling.
Working experience with GCP (e.g., Vertex AI, GKE, BigQuery, Composer/Airflow, Dataflow, Dataproc etc.) or another major cloud provider (AWS/Azure).
Familiarity with one or more GenAI patterns and concepts such as RAG pipelines, vector stores, prompt versioning, evaluation, or agent frameworks.
Hands-on familiarity with Kubernetes and containerized deployments (Docker image-based workflows).
Exposure to GitOps or CI/CD workflows (e.g., ArgoCD and/or GitHub Actions).
Experience in supporting production systems: debugging, monitoring, incident response, and continuous improvement.
Eagerness to learn, collaborate, and contribute in a team environment.
Demonstrated alignment with Priceline values: 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 are essential.
Nice-to-haves
Familiarity with enterprise MLOps tooling and best practices.
Basic understanding of infosec practices such as RBAC and security posture management.
Exposure to SRE concepts (e.g., error budgets) for Data and AI/ML systems.
#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 $105,000- $125,000K CAD.
Who we areOur 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 PricelinePriceline 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.
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