S ML Engineer Manager, AI Conversation Platform Stripe via Greenhouse Toronto, Canada 4145 support products - eng View role

Nubeero Limited; Toronto; On-site; CAD 150,000 - 230,000; Full time

Job summary

Stripe is seeking an ML Engineer Manager for the AI Conversation Platform in Toronto. The role leads a new team focused on building an end-to-end ML platform, from ideas to production.

You will guide the technical direction, coordinate with partner teams, and mentor engineers to deliver high-impact ML systems. Ideal candidates have 4+ years managing ML teams, hands-on ML engineering experience, and a track record of shipping ML solutions in production.

Qualifications

• Have at least 4 years of experience managing ML teams.
• Experience working as a Machine Learning Engineer, Applied Scientist or equivalent IC.
• Lead by example in high-growth environments with ambiguity.
• Have experience building & shipping ML systems.
• Maintain high standards for production systems.

Responsibilities

• Drive an ambitious ML/AI vision that benefits users.
• Set technical and process direction aligned with business goals.
• Brainstorm and coordinate product integrations with partner teams.
• Propose new ideas and build prototypes.
• Be part of a larger ML community internally & externally.
• Hire and develop a world-class ML team.
• Coach engineers to grow in their careers and maintain a high bar.

Skills

ML leadership

Python

Distributed ML

Model deployment

Mentoring

Education

Bachelor's degree in CS/related field

Tools

TensorFlow

PyTorch

Job description

ML Engineer Manager, AI Conversation Platform

via Greenhouse Location Toronto, Canada Employment Type Full Time Location Type Onsite Department 4145 Support Products - Eng Compensation Not disclosed

ML Engineer Manager, AI Conversation Platform

via Greenhouse Location Toronto, Canada Employment Type Full Time Location Type Onsite Department 4145 Support Products - Eng Compensation Not disclosed

About the role

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies-from the world's largest enterprises to the most ambitious startups-use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About the team

The newly formed Conversation Platform team aims to build a conversation platform for all merchants who use Stripe. We are doing so by (a) automating the easy tasks, and (b) assisting our users in the difficult tasks. Some examples include customizing the Stripe landing page to suggest bespoke integrations, allowing users to command the Stripe API in natural language, and resolving user issues automatically. We are developing RAG based systems on the latest LLMs as well as fine-tuning our own models. We're an end-to-end team going from ideas to models to shipping in production.

What you’ll do

Responsibilities

• Driving an ambitious vision for AI/ML that benefits our users
• Setting the technical & process direction for the team based on business goals
• Brainstorm and coordinate product integrations with partner teams
• Proposing new ideas and building prototypes
• Be an integral part of a larger ML community internally & externally
• Hire & develop a world-class team to deliver high-quality ML systems.
• Coach engineers to help them grow in their careers and maintain a high bar

Who you are

We are looking for ML Engineering Managers who are passionate about using ML to improve products and delight customers. You have experience leading teams that develop streaming feature pipelines, build ML models, and deploy them to production, even if it involves making substantial changes to backend code. You are comfortable with ambiguity, love to take initiative, and have a bias towards action.

• Have at least 4 years of experience managing ML teams
• Experience working as a Machine Learning Engineer, Applied Scientist or equivalent Individual Contributor.
• Lead by example in high-growth, high-impact, ambiguous environments
• Have experience building & shipping ML systems.
• Hold yourself and others to a high bar when working with production systems.Thrive in a collaborative cross-functional environment

Preferred qualifications

• Experience in shipping LLM & RAG systems