Machine Learning/GenAI Engineering Manager

This role is eligible for our hybrid work model: 2 days in-office This job posting is for an existing, currently vacant position. Machine Learning /GenAI Engineering Manager

Our Technology team is the backbone of our company: constantly creating, testing, learning and iterating to better meet the needs 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

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. In This Role, You Will Get To

People & Team Leadership: 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. Platform Vision & Strategy: Drive the roadmap for a centralized, self-service AI/ML platform that simplifies model training, evaluation, deployment, and monitoring across all product lines. GenAI Infrastructure & Tooling: Own and standardize enterprise shared AI development tooling, including model evaluation frameworks, observability, safety monitoring, MCP (Model Context Protocol), and LLM gateway integrations. Cross-Functional Collaboration: Partner closely with data science leads, product managers, security teams, and engineering leaders to align platform capabilities with business needs and technical standards. Operational Excellence: Establish robust MLOps and LLMOps best practices, ensuring high availability, scalable infrastructure, cost optimization, and enterprise-grade security for all deployed models and APIs. Who You Are

Education:
Bachelor’s degree in Computer Science, Software Engineering, or a closely related quantitative field (or a Master’s degree in a related technical discipline). Leadership

Experience:
3+ years of experience in technical engineering management or direct team leadership roles within ML, Data Platform, or Infrastructure engineering. Hands-on Platform

Experience:
5+ years of hands‑on experience building, scaling, and maintaining ML platforms, MLOps pipelines, or cloud-based data systems. ML & GenAI Domain Knowledge: 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). Infrastructure & Cloud: Strong technical background in cloud platforms (GCP preferred), containerization (Kubernetes, Docker), and infrastructure automation (Terraform). Tooling & Observability: Demonstrated experience establishing developer‑facing tooling, monitoring, and evaluation frameworks for AI workloads. Communication: Excellent communication skills with the ability to bridge technical concepts between data scientists, platform engineers, and executive leadership. Preferred Qualifications

Advanced degree (Master's or Ph.
D.) in Computer Science, Machine Learning, Data Science, or Artificial Intelligence. Experience designing or evaluating emerging GenAI standards, such as MCP, modern agentic frameworks, or API gateway patterns for LLMs. Background in managing mixed‑skill technical teams across both application engineering and core platform infrastructure. Familiarity with data security, privacy compliance, and cost governance in large‑scale cloud AI deployments. 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 $160,000K
- $185,000K CAD. Who We Are

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