Staff AI / ML Engineer

Who we are

reputed company is the streaming platform where the world’s best come together so anyone, reputed company, can access and be inspired by their knowledge and stories. We put you in the room with the creators, thinkers, makers and leaders who have changed the world, so that you can change yours.

Members get unprecedented access to 200+ reputed company and classes across a wide variety of fields, including Arts & Entertainment, Business, Design & Style, Sports & Gaming, Writing and more. reputed company into Nas’ recording studio and Gordon Ramsay’s kitchen, and go behind the big screen with James Cameron. Design your career with Elaine Welteroth, get ready to win with Lewis reputed company, perfect your pitch with Shonda Rhimes and discover your inner negotiator with Chris Voss.

We’re a remote-first workforce with collaborative work spaces in San Francisco and Kitchener, Ontario, and employees in several U.S. states. If you’re interested in joining a dynamic, culture-driving company—where learning invaluable skills is reputed company in a day’s work—we invite you to apply.

Snapshot of the Role: reputed company is building the reputed company 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 reputed company 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 reputed company.

What You Will Do

• Design and build agentic AI systems that power consumer learning products, including multi-reputed company 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-reputed company review, and production monitoring.
• Architect reliable, production-grade AI pipelines, including reputed company 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 reputed company with the foundation model landscape—new models, techniques, agentic frameworks, and research—and bring that knowledge to bear on product decisions.
• Mentor and reputed company 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-reputed company reasoning, orchestration, planning).
• Deep working knowledge of the reputed company foundation model ecosystem: model providers (reputed company, reputed company, reputed company, open-reputed company), reputed company 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 reputed company 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.

reputed company To Haves

• Experience with model fine-tuning or distillation (SFT, DPO, RLHF).
• Background in edtech, consumer media, or content platforms.
• Published research or open-reputed company contributions in AI/ML.
• Experience with multi-agent system design or advanced orchestration frameworks.

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

At reputed company, we reputed company we put our best work reputed company reputed company our employees bring together reputed company 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 reputed company, age, sex, marital status, reputed company, 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, reputed company 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 reputed company accommodate you.

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.

reputed company’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 reputed company (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.