Machine Learning Engineer

Job Description

<p><p>Get AI-powered advice on this job and more exclusive features.</p><p>Make creation the world’s favorite entertainment.</p><p><b>About GenTube</b></p><p>Imagination to images in milliseconds. Already 10M+ monthly creations and accelerating. We believe AI creation is the next social medium — as big as video, as habitual as scrolling.</p><p><b>The Opportunity</b></p><p>We’re at the start of a generational shift. Just as YouTube unlocked the world’s videos and TikTok turned short-form into the default entertainment, GenTube is making AI creation the medium of our time. A billion people will move from passive consumption to active creation — and you’ll be one of the engineers building the ML backbone that makes it instant and magical.</p><p><b>The Founders</b></p><p>Josh and Mo scaled platforms to 100M+ users and led a $150M+ AI exit to Microsoft. Now they’re building the defining consumer AI company of the creation era. We’re well-funded with a long runway, and you’re joining the founding team.</p><p><b>The Role</b></p><p>You’ll own the ML systems that power instant, high-quality creation at scale. From sub-second inference pipelines to personalization engines, your work will define how billions experience AI creativity.</p><p><b>What You’ll Do</b></p><ul><li><b>Core ML Infrastructure</b> — Build inference pipelines serving millions of generations weekly; design real-time streaming for diffusion, LLMs, multimodal systems; optimize latency across serving, batching, caching, routing.</li><li><b>Model Performance</b> — Adapt foundation models (SD, Flux, LLMs) for creation; implement quantization, distillation, pruning; experiment with LoRAs, ControlNets, adapters for style and personalization.</li><li><b>Intelligence Layers</b> — Build ranking, recommendation, and personalization engines; content understanding with embeddings, similarity search, classification; moderation systems that keep outputs safe.</li><li><b>Production Systems</b> — Scale GPU infra from thousands to millions of daily generations; profile bottlenecks and optimize utilization; implement A/B testing for model variants; monitor drift, quality and latency p99s.</li><li><b>Relentless Experimentation</b> — Ship new model variants daily; A/B test speed vs. quality; build feedback loops from user behavior to improve outputs.</li></ul><p><b>What We’re Looking For</b></p><ul><li><b>ML Engineering Depth</b> — Experience shipping production ML at scale; strong with generative models (diffusion, LLMs, multimodal); PyTorch/JAX fluency; inference serving (Triton, Ray, TorchServe).</li><li><b>Systems & Infrastructure</b> — Expertise in inference optimization, batching, quantization, model compilation; GPU infra (CUDA, memory management, multi-GPU serving); backend skills in Python/FastAPI, async systems, cloud (AWS/GCP/Azure).</li><li><b>Product-Focused ML</b> — Care about user experience, not just benchmarks; design for sub-second latency, graceful degradation, and delight.</li><li><b>Mindset</b> — Startup DNA, fast-moving, scrappy; performance obsessed; quality focused; empathetic to creator intent and expectations.</li></ul><p><b>Bonus</b></p><ul><li>Built and scaled ML products for consumer apps</li><li>Experience with personalization or recommendation systems</li><li>Open source or side projects showing technical creativity</li></ul><p><b>Why Join</b></p><ul><li><b>Be Early</b> — Like YouTube 2005 or TikTok 2018, but for AI creation.</li><li><b>Own It</b> — our models define latency, quality, and magic for millions.</li><li><b>Learn From Operators</b> — Founders who’ve scaled ML products to 100M+ users.</li><li><b>Win Big</b> — Significant equity, competitive comp, asymmetric upside.</li><li><b>Invent the Future</b> — Solve unsolved inference problems at the AI × consumer edge.</li></ul><p><b>Details</b></p><ul><li><b>Location:</b> Toronto — downtown office, high-energy, creative hub</li><li><b>Compensation:</b> Depending on background, skills and experience</li><li><b>Benefits:</b> We offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.</li><li><b>Visa:</b> Available support for top candidates</li></ul><p>If you want to define the ML infrastructure that makes creation instant, delightful, and accessible to billions — this is your moment. Join us before GenTube becomes the next billion-person creation platform. We encourage you to apply even if you do not believe you meet every single qualification.</p><p>We also invite you to apply for related roles and join a growing team focused on ML and software engineering in Toronto.</p></p>
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