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. Lead and grow a high-performing team of 7 ML Platform and MLOps developers. Build and scale a unified, centralized ML and GenAI platform used by data scientists across various product teams.

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.

People & Team Leadership: Lead, mentor, and advocate for a hybrid team of 7 ML Engineers and MLOps developers. Set explicit 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.

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. Partner closely with data science leads, product managers, security teams, and engineering leaders to align platform capabilities with business needs and technical standards. 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). 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. in Computer Science, Machine Learning, Data Science, or Artificial Intelligence.

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. 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. 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. Our ability to meet their needs relies on the strength of a workforce as diverse as the customers we serve.

Nasdaq: BKNG) family of companies, a highly profitable global online travel company with a market capitalization of over $80 billion. Flexible work at Priceline On the remaining days, you can choose to be remote or in the office. 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 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’d love for you to join us and help shape what makes our team extraordinary. #

📌 Machine Learning/GenAI Engineering Manager (Toronto)
🏢 Priceline.com
📍 Toronto