Design and optimise AI-ready tools and APIs that enable LLM platforms to reliably interact with Canva's design capabilities.
Build and maintain evaluation frameworks to systematically measure tool-use accuracy across platforms.
Experiment with LLM orchestration and agent architectures – Develop Canva agents that any 3rd party provider can call to design quickly, efficiently and at scale.
Canva is a platform redefining how the world experiences design. They have a flagship campus in Sydney, with a second campus in Melbourne and co-working spaces in Brisbane, Perth, Adelaide, and Auckland, NZ.
Building a truly flexible and scalable conversational AI platform.
Fine-tuning and evaluating LLM-based models to improve performance.
Contributing to platform engineering across both ML and backend systems.
Canva is a design platform that allows users to create social media graphics, presentations, posters, documents and other visual content. They have a campus in Sydney, and a second campus in Melbourne and co-working spaces in Brisbane, Perth, Adelaide, and Auckland, NZ.
Drive the design and evolution of AI-ready tools and APIs for LLM platforms.
Own and evolve evaluation frameworks that measure tool-use accuracy across platforms.
Shape Canva's agent architecture, making strategic technical decisions about intelligence location.
Canva is a design platform that enables users to create various visual content. They have offices in multiple locations in Australia and New Zealand, and they offer a flexible work environment.
Design and deploy machine learning, deep learning, and LLM models that will shape our customer experience, drive business growth, and improve operational efficiency.
Build intelligent AI agents that can reason, plan, and interact across workflows to enhance automation and decision-making.
Develop personalization and recommendation systems that deliver dynamic, user-centric experiences across our product offerings.
OnePay is a consumer fintech company trusted by millions of Americans. They provide an all-in-one financial services platform that brings together banking, high-yield savings, credit cards, point-of-sale lending, investing, and crypto in one place and are backed by Walmart and Ribbit Capital.
Design, develop, and enhance ML/AI models which mainly power Search and Recommendation.
Process historical data, search queries, product catalog, and images to extract hidden relations and features.
Work closely with Data Engineers and Senior Data Scientists to integrate and scale ML components to a production-level that can handle terabytes of data.
Bloomreach is building the world’s premier agentic platform for personalization, revolutionizing how businesses connect with their customers. They power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora.
Design, build, and deploy production-grade machine learning models and systems at scale
Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring
Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems
Reddit is a community of communities built on shared interests and trust, and is home to open conversations on the internet. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Contribute to designing, evaluating, and shipping our mental health AI Agent and its supporting infrastructure.
Develop and maintain robust data pipelines to power model training and evaluation.
Partner with AI Research, Product, and Engineering teams to define new features.
Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform. They aim to make world-class healthcare available anytime, anywhere, while significantly reducing costs. Backed by clinical studies and patents, Sword Health has raised more than $500 million from leading investors.
Define and execute the roadmap for Sayari’s AI infrastructure.
Lead the strategy for model selection, fine-tuning, and deployment.
Establish the "ground truth" for Sayari AI.
Sayari is a venture-backed and founder-led global corporate data provider and commercial intelligence platform that serves financial institutions, legal and advisory service providers, multinationals, journalists, and governments. Their company culture is defined by a dedication to their mission of using open data to prevent illicit commercial and financial activity and they embrace cross-team collaboration.
Architect, build, and deploy large-scale ML systems powering recommendations, search, messaging, and content understanding.
Lead projects from ideation → modeling → experimentation → production → iteration.
Design and improve recommender systems and ranking models across surfaces (feed, search, notifications).
Reddit is a community of communities that's built on shared interests, passion, and trust. It is home to open and authentic conversations, with over 100,000 active communities and approximately 121 million daily active unique visitors.
Research & Train: Design, train, and evaluate our proprietary deep learning models.
High-Performance ML Systems: Optimize our models for maximum inference speed and efficiency, ensuring they can handle massive datasets and real-time workloads at scale.
Deepslate is building Speech to Speech Voice AI models that sound and act indistinguishable from a human, believing everyone should be able to use it. Backed by top-tier investors from the Tech and AI sectors, as well as a major German VC fund, they are incredibly well-funded and moving fast.
Design multi-agent systems to automate business workflows.
Build and integrate AI agents using LLMs, APIs, and internal tools.
Continuously improve agent performance based on metrics and feedback.
Findies is a social shopping network helping women discover better products for their lifestyle. It's a small, hands-on team looking for professionals who want ownership and the opportunity to shape the business, operating in the e-commerce industry.
Build and evolve sophisticated, multi-stage retrieval and ranking systems.
Bridge applied ML/AI with production backend engineering to deliver performant and intelligent algorithms.
Scale recommendation systems to support growth and increasingly complex marketplace dynamics.
Raya is a company that focuses on connecting people. They appear to be a growing company, scaling their recommendation systems to support growth and increasingly complex marketplace dynamics.
Build and ship AI-powered product features using LLMs and generative models
Develop and maintain services and APIs around ML models
Integrate AI models into production systems and user-facing applications
Social Discovery Group (SDG) is the 3rd largest social discovery company in the world, uniting 60+ brands with 500 million users. They transform virtual intimacy into the new normal by solving the problems of loneliness, isolation, and disconnection. Their international team of 1200 professionals and digital nomads works all over the world.
Osano is an innovative B-Corporation focused on giving modern enterprises the ability to innovate quickly and earn customer trust by respecting data privacy and complying with consent guidelines. We are scaling fast with a multi-year runway and ambitious growth plans.
Bring deep expertise in machine learning and applied AI to turn emerging techniques into practical solutions.
Provide broad technical leadership across teams while remaining hands-on in applied research and innovation.
Guide major technical decisions, identify opportunities for differentiation, and translate new ideas into future product capabilities.
Kinaxis is a global leader in modern supply chain orchestration that powers complex global supply chains and supports the people who manage them. They have grown to become a global organization with over 2000 employees around the world, with 6 global offices and a best-in-class HQ in Ottawa, Canada.
Build and deploy AI models with RAG and tool calling for various product features.
Collaborate with frontend and backend engineers to bring AI features into production.
Stay updated with the latest AI research and propose innovative applications relevant to Finom’s mission.
Finom is a European tech startup headquartered in Amsterdam, revolutionizing financial services for entrepreneurs. They offer an all-in-one B2B financial solution integrating banking, accounting, financial management, and invoicing into a seamless, mobile-first platform, actively expanding across key EU markets.
Build and ship AI-powered product and internal solutions using LLMs, RAG, tool calling, workflows, and agentic patterns
Design quality and evaluation frameworks for AI systems, including offline evals, online signals, failure analysis, and continuous improvement loops
Contribute to AI platform and tooling decisions that improve reuse, speed, and consistency across teams
Finom is a European tech startup headquartered in Amsterdam, revolutionizing financial landscape for entrepreneurs. They develop an all-in-one financial B2B solution integrating banking, accounting, financial management, and invoicing into a mobile-first platform and nurture innovation in an inspiring work environment.
Build RAG systems: Architect, prototype, and deploy RAG pipelines, combining vector search, hybrid retrieval, reranking and contextual compression techniques.
Build LLM powered agent systems : Contribute to design and orchestration of multi-agent LLM systems using community frameworks and custom orchestration layers.
Solve complex problems : Work on a variety of information extraction, information storage and information retrieval problems for both structured and unstructured data.
Affinity stitches together billions of data points from massive datasets to create a powerful, accurate representation of the world's professional relationship graph. They offer their users the insights and visibility they need to nurture and tap into the opportunities in their team's network. With more than 3,000 customers worldwide, Affinity has raised $120M to empower dealmakers to find, manage, and close more deals.
Collaborate with backend architects to integrate AI services into APIs
They are seeking a hands-on AI Engineer with deep expertise in Large Language Model integration and production AI systems. The company's culture sounds innovative and collaborative, focusing on building scalable and secure AI applications.
Design and implementation of reliable, maintainable, and scalable GenAI systems.
Serve as a subject matter expert for machine learning systems owned by the team.
Mentor junior and mid level engineers through code reviews and design collaboration.
Trajector specializes in medical evidence services, guiding clients through disability benefits complexities. They are a global team of over 1,800 dedicated individuals, streamlining the path to benefits and ensuring access to rightful compensation for those with disabilities.