Staff AI / ML Engineer

MasterClass; Toronto, Southwestern Ontario; On-site; CAD 171,000 - 225,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits (medical, dental, vision)

Flexible PTO

Job summary

A leading online learning platform is seeking a Staff ML Engineer to join their AI engineering team. In this role, you will design and build innovative AI systems that enhance consumer learning products, collaborate with cross-functional teams, and stay updated on the latest AI research. Candidates should have extensive experience in software engineering, particularly with large language models, and a track record of shipping AI products. The position offers a competitive salary range of CAD $171,000 - $225,000, along with full benefits.

Qualifications

• 7+ years of software engineering experience, with 3+ years focused on building products with large language models.
• Demonstrated experience shipping consumer-facing AI products that use agentic patterns.
• Strong software engineering fundamentals including system and API design.

Responsibilities

• Design and build agentic AI systems for consumer learning products.
• Select and integrate foundation models based on product requirements.
• Build evaluation frameworks to ensure AI product quality at scale.

Skills

Software engineering

Collaboration skills

AI product development

Python programming

Education

7+ years of software engineering experience

Experience with large language models

Tools

Foundation models knowledge

API design skills

Job description

Snapshot of the Role

MasterClass is building the next generation of learning products with AI at the core. Foundation models and agentic systems are central to how we design and deliver every new product, powering intelligent, adaptive experiences that help millions of people learn from the world's best. This is not a side initiative. It is the direction of the company. We are looking for a Staff ML Engineer to join our AI engineering team and help define and deliver these products. This role is ultimately about delivery. You will be expected to stay deeply connected to the latest research, models, and techniques, but the measure of success is shipping products that people use. You will work alongside a small, talented group of ML engineers and partner closely with product, design, and engineering leadership to shape what AI-powered learning looks like at MasterClass.

What You Will Do

• Design and build agentic AI systems that power consumer learning products, including multi-step reasoning, tool use, and orchestration architectures.


• Select and integrate foundation models (LLMs, multimodal) based on product requirements, making pragmatic trade-offs between quality, latency, cost, and safety.


• Build evaluation and observability frameworks that ensure AI product quality at scale, including automated testing, human-in-the-loop review, and production monitoring.


• Architect reliable, production-grade AI pipelines, including prompt management, context retrieval (RAG), caching, and fallback strategies.


• Collaborate with Product, Design, and Engineering to translate ambiguous product goals into well-defined technical approaches and ship features end-to-end.


• Stay deeply current with the foundation model landscape—new models, techniques, agentic frameworks, and research—and bring that knowledge to bear on product decisions.


• Mentor and elevate the AI engineering team by sharing best practices, leading design reviews, and establishing reusable patterns for agentic product development.

About You (Requirements)

• 7+ years of software engineering experience, with 3+ years focused on building products with large language models or foundation models.


• Demonstrated experience shipping consumer-facing AI products that use agentic patterns (tool use, multi-step reasoning, orchestration, planning).


• Deep working knowledge of the current foundation model ecosystem: model providers (OpenAI, Anthropic, Google, open-source), prompt engineering, RAG architectures, evaluation frameworks, and orchestration tooling.


• Strong software engineering fundamentals: system design, API design, production observability, and the ability to write clean, maintainable code in Python.


• Track record of staying on the cutting edge—you can point to specific ways you’ve incorporated new research, models, or techniques into shipped products.


• Excellent collaboration and communication skills; experience working cross-functionally with product, design, and engineering teams.

Nice To Haves

• Experience with model fine-tuning or distillation (SFT, DPO, RLHF).


• Background in edtech, consumer media, or content platforms.


• Published research or open-source contributions in AI/ML.


• Experience with multi-agent system design or advanced orchestration frameworks.

Nice-to-haves are not required; each represents a direction in which our infrastructure is evolving.

EEO and Accessibility Statement

At MasterClass, we believe we put our best work forward when our employees bring together ideas that are diverse in thought. We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law. In addition, MasterClass will provide reasonable accommodations for qualified individuals with disabilities. If you have a disability or special need, we would like to know how we can better accommodate you.

Salary and Benefits

The salary range listed is for candidates in Ontario, Canada. As a company, we have a location based strategy, which means the disclosed range estimate has been adjusted for geographic differential associated with the location where the position may be filled.

MasterClass’s salary ranges are based on paying competitively for our size and industry. In addition to salary, we also offer equity and comprehensive benefits (medical, dental, vision, flexible PTO, and more). The range listed is for the expectations as laid out in the job description, however we are often open to a wide variety of profiles, and recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated with you as a candidate.

Ontario, CAN Salary Range

$171,000 - $225,000 CAD