Define and lead the ML roadmap for Canva’s User Voice supergroup, building production-ready NLP models, with a focus on Agentic AI and LLMs, to power user-facing support tools. Build end-to-end ML pipelines for large-scale model training, evaluation, and deployment. You’ll lead Canva’s ML support evolution and help shape how AI transforms how users engage with help at scale.

As a Senior Audio AI Engineer at Awarri, you will play a pivotal role in advancing the naturalness and quality of our Text-to-Speech (TTS) systems, focused on African languages and accents. We're seeking an engineer who understands the intricacies of prosody, rhythm, and speech alignment and is excited to push the boundaries of audio AI in a meaningful cultural context.

As an ML Engineer, you will contribute to strategies for understanding the factors that play a role in the performance of promoted tracks across the globe. You’ll build data-driven solutions, as well as effective online and offline strategies to efficiently iterate and evaluate model approaches. You’ll have access to a growing list of datasets, features and ML infrastructure to continually experiment and improve the model-based approach.

We are seeking an Applied Machine Learning Engineer with a strong focus on practical solutions and software development. In this role, you'll leverage off-the-shelf tools and custom-built ML models to solve challenges in music product development and improve manual music processes. This position is ideal for engineers with demonstrable experience building functional, production-ready models and who are passionate about user experience and Product.

We are seeking an experienced Senior Staff Machine Learning Engineer to join our dynamic team and take a leading role in developing cutting-edge machine learning systems that drive business growth. As a key technical contributor, you will drive the development, deployment, and scalability of machine learning models in a production environment, ensuring they deliver value and performance at scale.

Seeking a skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services to oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers, demanding hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.

You’ll be in charge of the full cycle execution of content understanding projects - from collaborating with cross-functional teams on requirements and design to the implementation to the experimentation. Developing new or iterating on existing NLP algorithms and models for advertising use cases. Building data processing pipelines & APIs that make the signals and annotations computed with those models available.

Join our AI and Architecture team as a Senior Machine Learning Engineer, contributing to the design, development, and deployment of cutting-edge machine learning systems. Collaborate with ML scientists, data engineers, and product teams to bring innovative solutions—such as RAG systems, multi-agent architectures, and AI agent workflows—into production, shaping the future of our platform.

As a Senior Machine Learning Engineer, you’ll play a key role in developing and integrating cutting-edge AI solutions—including LLMs and AI agents —into Enable's products and operations at a leading SaaS company. You’ll collaborate closely with product and engineering teams to deliver innovative, high-impact systems that push the boundaries of AI in rebate management.

Train, fine-tune, and deploy machine learning models within an API-driven environment, ensuring scalability and optimal performance. Design and implement modeling and optimization techniques for deep learning models and production-ready pipelines. Implement monitoring and evaluation frameworks to ensure model quality and reliability.