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About the Role

We are looking for an ML/GenAI Engineering Manager to lead and grow a high-performing team of 7 ML Platform and MLOps developers. In this role, you will lead the creation and scaling of a unified, centralized ML and GenAI platform used by data scientists across various product teams. You will drive the architecture and delivery of core infrastructure supporting both traditional ML model training/deployment and cutting-edge GenAI applications, while owning key shared tools like evaluation, monitoring, MCP integration, and LLM gateways.

Responsibilities

Lead, mentor, and advocate for a hybrid team of 7 ML Engineers and MLOps developers.
Set clear goals, manage performance, and foster a strong culture of technical excellence and continuous learning.
Drive the roadmap for a centralized, self-service AI/ML platform that simplifies model training, evaluation, deployment, and monitoring across all product lines.
Own and standardize enterprise shared AI development tooling, including model evaluation frameworks, observability, safety monitoring, MCP (Model Context Protocol), and LLM gateway integrations.
Partner closely with data science leads, product managers, security teams, and engineering leaders to align platform capabilities with business needs and technical standards.
Establish robust MLOps and LLMOps best practices, ensuring high availability, scalable infrastructure, cost optimization, and enterprise-grade security for all deployed models and APIs.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a closely related quantitative field (or a Master’s degree in a related technical discipline).
3+ years of experience in technical engineering management or direct team leadership roles within ML, Data Platform, or Infrastructure engineering.
5+ years of hands-on experience building, scaling, and maintaining ML platforms, MLOps pipelines, or cloud-based data systems.
Proven track record leading projects that support both traditional machine learning lifecycles (experiments, training, registry, inference) and modern GenAI architectures (RAG, fine-tuning, orchestration, LLM gateways).
Strong technical background in cloud platforms (GCP preferred), containerization (Kubernetes, Docker), and infrastructure automation (Terraform).
Demonstrated experience establishing developer-facing tooling, monitoring, and evaluation frameworks for AI workloads.
Excellent communication skills with the ability to bridge technical concepts between data scientists, platform engineers, and executive leadership.

Skills

ML Platform
MLOps
GenAI
GCP
Kubernetes
Docker
Terraform
Model evaluation
Observability
LLM gateways
RAG
Fine-tuning
Orchestration

Location

Remote
Onsite

Work Type

Hybrid

Experience Level

3+ years of technical engineering management or direct team leadership
5+ years of hands-on platform experience

Education Level

Bachelor's degree in Computer Science, Software Engineering, or a closely related quantitative field
Master's degree in a related technical discipline
Advanced degree (Master's or Ph.D.) in Computer Science, Machine Learning, Data Science, or Artificial Intelligence (Preferred)

Salary/Compensations

$160,000K - $185,000K CAD

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
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

About the Company

Our Technology team is the backbone of our company: constantly creating, testing, learning and iterating to better meet the needs of our customers.
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.
Our culture is unique and inspiring (that’s what our employees tell us). We’re a grown-up, startup.
We’re on the cutting edge of innovative technologies.
We keep the customer at the center of all that we do.
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.

Equal Opportunity

Inclusion is a Big Deal!
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.