Machine Learning/GenAI Engineering Manager

Posted Yesterday
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Toronto, ON, CAN
In-Office
160K-185K Annually
Senior level
Travel
The Role
Leads and grows a seven-person ML Platform and MLOps team while defining and delivering a centralized AI/ML platform. Responsibilities include ML and GenAI infrastructure, model training and deployment, evaluation, monitoring, observability, MCP and LLM gateway integrations, security, scalability, cost optimization, and cross-functional collaboration with data science, product, security, and engineering teams.
Summary Generated by Built In

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 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. 

If you want to be part of something truly special, check us out! 

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

Our benefits are designed to support your health, wellbeing, and life inside and outside of work. Eligible Priceliners have access to:

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.

Applying for this position

We're excited that you are interested in a career with us. For all current employees, please use the internal portal to find jobs and apply.

External candidates are required to have an account before applying. When you click Apply, returning candidates can log in, or new candidates can quickly create an account to save/view applications.

Skills Required

  • Bachelor's degree in Computer Science, Software Engineering, or a closely related quantitative field, or a related technical master's degree
  • 3+ years of technical engineering management or direct team leadership experience in 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
  • Experience supporting traditional machine learning lifecycles, including experimentation, training, model registry, and inference
  • Experience with GenAI architectures, including RAG, fine-tuning, orchestration, and LLM gateways
  • Strong technical background with cloud platforms, preferably GCP
  • Experience with Kubernetes and Docker
  • Experience with infrastructure automation using Terraform
  • Experience establishing developer-facing tooling, monitoring, and evaluation frameworks for AI workloads
  • Excellent communication skills across data science, platform engineering, and executive audiences
  • Master's or Ph.D. in Computer Science, Machine Learning, Data Science, or Artificial Intelligence
  • Experience with emerging GenAI standards such as MCP, agentic frameworks, or LLM API gateway patterns
  • Experience managing mixed-skill teams across application engineering and core platform infrastructure
  • Familiarity with data security, privacy compliance, and cost governance in large-scale cloud AI deployments

Priceline Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Priceline and has not been reviewed or approved by Priceline.

  • Healthcare Strength Healthcare coverage is positioned as comprehensive, including medical, dental, and vision offerings alongside an EAP. Fitness reimbursement is also described as part of the standard health-and-wellness set.
  • Leave & Time Off Breadth Time away is framed as well-supported through paid time off, company holidays, and paid volunteer days. These elements collectively broaden the non-cash value of the package for many employees.
  • Fair & Transparent Compensation Pay is characterized as fair-to-decent in parts of the organization, with certain technical roles described as competitive. Total rewards can feel more acceptable when benefits and travel-related perks are factored in.

Priceline Insights

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The Company
HQ: Norwalk, CT
1,339 Employees
Year Founded: 1998

What We Do

At Priceline, part of Booking Holdings, Inc. [NASDAQ: BKNG], we believe every trip is a big deal to our customers. Whether it’s a much-needed getaway, wedding, reunion, graduation, or rooting on a favorite team—those are the moments that nobody should miss out on. Our mission? Be the best travel dealmakers in the world. We provide our customers with smart and easy ways to access the very best deals available on hotel rooms, flights, rental cars, vacation packages and cruises, so they can be there for the moments that matter the most to them. We do that by welcoming people who are at the top of their game, who want to learn and grow with others and who take their work seriously (but not themselves). We’re building a diverse and uniquely talented team to make sure our customers can be there for all those {big deal} moments. Come join us!

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