Machine Learning Developer

Priceline • Toronto, ON

1d • $120,000 - $140,000 • Hybrid

About The Position

This role is eligible for our hybrid work model: Two days in-office. The Global Platform Engineering platform team within the Data & AI/ML product group powers Priceline’s most strategic initiatives by providing secure, scalable, and governed access to data, machine learning, and GenAI. We build the 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. You’ll help build the foundational systems that enable self-service AI-powered software engineering, data engineering, MLOps/LLMOps, and GenAI workloads, while democratizing access to trusted data and models. Your work will directly accelerate innovation across every product and business team at Priceline.

Requirements

• Bachelor’s Degree in Computer Science or relevant experience.
• 4–6 years of experience in Cloud-native software engineering.
• Strong experience with GCP (Vertex AI, GKE, Dataflow, Dataproc, Composer, BigQuery, etc.) or other major cloud providers (Azure/AWS).
• Hands-on expertise with Kubernetes, Vertex AI, Docker and image-based deployment workflows.
• High proficiency with Python or similar object oriented programming language, especially for developing AI-powered apps.
• Experience with LLMOps toolchains (RAG pipelines, vector stores, prompt/version management, agent frameworks).
• Experience deploying apps via GitOps using ArgoCD or similar.
• Proven ability to support AI/ML models in production: monitoring, pipelines, debugging, retraining loops.
• Eagerness to learn new techniques, technologies, solve problems and contribute in a team environment.
• Illustrated history of living the values necessary to Priceline: Customer, Innovation, Team, Accountability and Trust.

Nice To Haves

• Familiarity with enterprise MLOps tooling and best practices.
• Good understanding of infosec and RBAC best practices, and security posture management.
• Exposure to SRE best practices and error budgets for AI/ML systems.

Responsibilities

• Build AI-Powered Platform Frameworks and Tooling: Build AI-powered Python apps and internal platform tooling deployed to GKE K8s clusters with GitOps-based deployment workflows with GitHub Actions, ArgoCD and Codefresh. Leverage Istio gateways and service mesh patterns for traffic management. Improve developer productivity around GenAI usage by providing standardized templates, self-serve workflows, and reusable tooling around AI/ML workloads. This includes tooling built using popular GenAI frameworks such as LangChain, LangGraph, etc. as well as retrieval-augmented generation (RAG) and agent-based application patterns.
• Help drive the architecture and adoption of an AI and MCP gateway solutions, along with guardrails, evaluation (evals), prompt management, safety, and cost optimization that standardizes AI/data consumption patterns and enforces governance policies
• AI/ML Pipeline & Model Lifecycle: Build, maintain, and troubleshoot AI/ML and GenAI pipelines, batch jobs, and custom workflows leveraging Composer (Airflow), Vertex AI, Dataproc, Dataflow etc. Support workflow orchestration for AI/ML workloads, spanning data preparation, evaluation, and deployment stages. Collaborate with centralized infrastructure platform teams and security teams to integrate enterprise security tooling such as NexusIQ, StackRox, and Wiz into AI/ML workflows.
• Monitoring, Observability & Model Quality: Use Arize (or similar tools) for model drift/quality monitoring, embeddings monitoring, and LLM evaluation patterns. Implement logging, alerting, and SLOs for ML workloads and pipelines with Splunk, New Relic, Pagerduty etc. Assist with incident response, root-cause analysis, and long-term platform improvements.

Benefits

• Health & wellness coverage including medical, dental, vision, and mental health resources
• Generous time off including PTO, holidays, a company-wide Priceline Pause reset week, and paid volunteer days
• Work/life support including the ability to work up to 4 weeks per year from anywhere, parental leave, dependent care and family support resources, Summer Fridays, and office perks like stocked kitchens and catered meals (varies by location)
• Financial security programs such as retirement plans with company contributions, life and disability coverage, and tax-advantaged accounts
• Signature travel perks including employee-only discounts on hotels and flights, VIP deals, and Big Deal Bucks credits
• Additional perks & discounts like travel and partner discounts, tuition support, legal support, and pet benefits
• A people-first culture with Employee Resource Groups (ERGs), social events, recognition programs, and service awards that help you connect, grow, and celebrate together

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level