Jobs at Cantina

Product Manager, Growth - Lifecycle at Cantina. This role owns the end-to-end user journey across email, push, and in-product messaging, focusing on activation, retention, and resurrection. The Product Manager will develop lifecycle strategies, launch and iterate on messaging templates and journeys, and optimize the overall message portfolio for relevance and timing.

Senior Creative Strategist, Performance Marketing at Cantina. This role drives the creative quality and strategic direction of paid performance marketing campaigns, managing external agencies and in-house teams to produce scaled creative across various platforms with multi-million dollar ad spend.

This is a Machine Learning Engineer role focused on voice conversion at Cantina, a social platform. The engineer will build and deploy state-of-the-art speech systems, driving the model development lifecycle and collaborating with research, data, and infrastructure teams.

Research Scientist focused on developing next-generation native video and omni foundation models for multimodal generation and understanding. This role involves large-scale model development across the full lifecycle, including architecture, data, training, evaluation, and efficient inference for high-quality, controllable video generation.

Research Scientist at Cantina in Singapore focusing on foundational research for video generation models. Responsibilities include driving the full research cycle, post-training research, and collaborating with data and infrastructure teams to improve models. The role involves building and scaling systems for large-scale video data ingestion, preprocessing, and pipeline orchestration.

Senior-Staff iOS Engineer at Cantina, a social AI company. This role involves leading the development of AI-driven features for their flagship social AI platform, focusing on personalized feeds, custom UIs, and real-time media effects. The engineer will work with frameworks like UIKit and AVFoundation, and contribute to architecture and pipeline optimization.

Machine Learning Engineer at Cantina focused on building state-of-the-art speech systems. This role involves driving the model, data, and evaluation flywheel for TTS and related tasks, working at the intersection of research and engineering.

Cantina is seeking a Senior Product Director to own the entire video experience on their social AI platform. This role involves shaping the strategy and execution of video products, from creation and editing tools to publishing workflows, and collaborating with creators to enhance AI-driven video content.

Product Manager for Cantina's web product. This role involves leading prioritization, roadmap, and execution for the web platform, partnering with executive teams to build an AI-first video editing experience. Responsibilities include sprint planning, backlog grooming, user feedback gathering, and defining video creation/editing workflows.

This role is for a Machine Learning Engineer focused on core evaluations, specifically for speech generation and recognition models. The engineer will design and develop model evaluation pipelines for development and production, create automated dashboards, and lead the evaluation team.

This is a Machine Learning Engineer, Ops role at Cantina. The engineer will build and scale inference infrastructure for generative audio models, including TTS, voice conversion, and ASR. Responsibilities include designing and deploying high-performance systems for low-latency, reliable, and scalable model serving, and managing Kubernetes deployments with autoscaling.

Research Intern at Cantina Labs in Singapore working on next-generation video models. The three-month onsite internship involves meaningful ownership of a research or engineering problem, with projects focusing on post-training and inference efficiency, reward modeling, multimodal data systems, or scalable infrastructure for video model training.

Senior Staff Software Engineer at Cantina responsible for the search and recommendation systems. This role involves owning the end-to-end architecture and roadmap for query understanding, retrieval, and ranking, as well as defining and measuring relevance quality through metrics and experiments. The engineer will also manage the OpenSearch production environment.