Machine Learning/GenAI Engineering Manager

Priceline.com LLC; Toronto; On-site; CAD 160,000 - 185,000; Full time

Benefits offered by this job

Health & wellness benefits

Generous time off

Work from anywhere up to 4 weeks/year

Job summary

Priceline is seeking a Machine Learning / GenAI Engineering Manager in the Toronto area on a hybrid model. You will lead a team of 7 ML Platform and MLOps engineers, architect a centralized AI/ML platform, and drive the delivery of model training, evaluation, deployment and monitoring.

You will partner with data science leads, product managers and security teams to align platform capabilities with business needs, establish MLOps best practices, ensure cost efficiency and enterprise-grade

Qualifications

• 3+ years of engineering management or team leadership in ML/Data Platform/Infrastructure.
• 5+ years building and maintaining ML platforms, MLOps pipelines or cloud data systems.
• Experience with GenAI, RAG, orchestration, and LLM gateways.

Responsibilities

• Lead and mentor a hybrid team of ML Engineers and MLOps developers.
• Own roadmap and delivery of a centralized AI/ML platform.
• Drive platform architecture for model training, evaluation, deployment and monitoring.

Skills

Team leadership

ML Platform

MLOps

Cloud platforms

Communication

Education

Bachelor's degree in CS/SE or related

Master’s degree (preferred)

Tools

Kubernetes

Docker

Terraform

GCP

Job description

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:

• 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 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 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.

Flexible work at Priceline

Priceline 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.

Perks & Benefits at Priceline

• 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
• Specific benefits and programs vary by location.

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.