Machine Learning Engineer

GenTube is a consumer AI creation platform built on a simple belief : creation should be entertainment.

Last year, people created 70M+ images on GenTube. What matters more is what’s emerging now : a small but growing group opens the app with no prompt, no goal, and stays for hours. No nudges. No incentives. That behavior is the signal we’re building around.

We’re an early, opinionated team based in Toronto, backed by top consumer AI investors and operators who’ve built at global scale.

Our ambition is straightforward and hard : build the next great consumer AI creation company for a billion people.

Product ML Engineer

We’re hiring a Product ML Engineer to build the intelligence layer of GenTube.

This is not a research-only role.

And not an infra-only role.

You’ll work at the intersection of models, systems, and product — shipping ML that real users feel every day. You’ll make explicit tradeoffs between speed, quality, cost, and delight — and measure them.

If you want ownership, rigor, and real-world scale, keep reading.

What You Will Do

Core ML Infrastructure

• Build inference pipelines serving millions of generations per week.
• Design real-time and streaming inference for diffusion models, LLMs, and multimodal systems.
• Optimize latency across serving, batching, caching, routing, and model selection.
• Adapt and productionize foundation models (SD, Flux, LLMs).
• Implement quantization, distillation, pruning, and compilation.
• Experiment with LoRAs, ControlNets, adapters for style, control, and personalization.
• Build ranking, recommendation, and personalization systems.
• Implement content understanding with embeddings, similarity search, clustering, classification.
• Build moderation and safety systems that scale without killing creativity.

Production Systems

Relentless Experimentation

What We Are Looking For

Systems & Infrastructure

Product-Focused ML

Mindset

Why Join

Location

Toronto (downtown). On-site.

Compensation

Competitive salary + meaningful equity.

Taste, curiosity, and ownership matter more than pedigree.

If you want to ship ML that millions of people feel, measure what works, and push the edge of consumer AI — we want to hear from you.

Apply by sending your application to careers@1851labs.com

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