ML Engineer Manager, AI Conversation Platform
- Toronto, ON, Canada
- Greater Toronto Area, Canada, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Experience
- Have at least 4 years of experience managing ML teams
- Posting language
- English
- Posted
Original job description
Job Description
Engineering Manager, AI Conversation Platform
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
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.
Minimum Requirements
Engineering Manager, AI Conversation Platform
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
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.
Minimum Requirements
- 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
- Experience in shipping LLM & RAG systems
More about this job
Responsibilities
Set the technical and process direction for the AI conversation platform, develop its ML vision, and coordinate product integrations with partner teams. Build and lead a high-performing team, develop prototypes, and deliver high-quality ML systems to production while coaching engineers.
Requirements
Requires at least four years of experience managing ML teams and prior individual-contributor experience as a Machine Learning Engineer, Applied Scientist, or equivalent. Candidates should have experience building and shipping production ML systems, leading in ambiguous environments, and collaborating cross-functionally; experience shipping LLM and RAG systems is preferred.
Skills
- Machine Learning
- Engineering Management
- Large Language Models
- Retrieval-Augmented Generation
- Streaming Feature Pipelines
- Machine Learning Model Development
- Production Deployment
- Backend Engineering
- Team Leadership
- Hiring
- Coaching
- Cross-Functional Collaboration
- Prototyping
- Product Integration
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Management & Leadership
- Data & Analytics
Keywords
- Artificial Intelligence
- Machine Learning
- Large Language Models
- Retrieval-Augmented Generation
- RAG
- Fine-Tuning
- Streaming Feature Pipelines
- Machine Learning Models
- Production ML Systems
- Backend Code
- Natural Language
- Stripe API
- Conversation Platform
- Product Integrations
- Prototyping
- Technical Direction
- Process Direction
- Team Management
- Hiring
- Coaching
- Cross-Functional Collaboration
- Financial Infrastructure
- Merchant Support