Improve our existing machine learning ranking models using your core coding skills and ML knowledge
Identify new opportunities to apply machine learning to different parts of the Quora product
Work with other machine learning engineers to implement algorithms and systems efficiently
Quora's mission is to grow the world's collective intelligence with platforms like Quora and Poe. It is a remote-first company with passionate, collaborative, and high-performing global teams, rooted in transparency, idea-sharing, and experimentation.
Improve our existing machine learning systems using your core coding skills and ML knowledge
Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems
Apply state-of-the-art machine learning algorithms at scale and serving for next-generation targeting and bidding products that directly impact the company’s top line metrics
Quora's mission is to grow the world's collective intelligence with 300M monthly unique visitors on their knowledge sharing platform and millions of users on Poe, where they can chat, explore and build with a wide variety of AI language models (bots). They have passionate, collaborative, and high-performing global teams and a culture rooted in transparency, idea-sharing, and experimentation.
Set long-term technical direction for Kraken’s AI/ML strategy, influencing multiple teams and initiatives.
Own the architecture and evolution of core AI/ML systems, including training, feature management, serving, experimentation, and monitoring.
Lead cross-team efforts to standardize ML development and operational practices across the company.
Kraken is a mission-focused company rooted in crypto values, aiming to accelerate the global adoption of crypto so that everyone can achieve financial freedom and inclusion. As a fully remote company, they have Krakenites in 70+ countries and is committed to industry-leading security, crypto education, and world-class client support.
Build decisioning and optimisation models for Canva’s payments platform.
Define the ML strategy and operating model for payments optimisation.
Work with engineering, data, fraud, and product teams to improve revenue outcomes.
Canva is redefining how the world experiences design. They have campuses in Sydney and Melbourne plus co-working spaces in other cities, and offer flexible work arrangements to empower their team.
Build and optimize data pipelines and backend services to process device and behavioral data in real time.
Develop and deploy ML models for fraud detection, ensuring they run reliably and efficiently in production.
Turn raw data into production-ready features that feed our fraud detection systems.
Sardine is a leader in fraud prevention and AML compliance. Their platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Over 300 banks, retailers, and fintechs worldwide use Sardine; they have a remote-first work culture, valuing performance over hours and hiring self-motivated individuals.
Develop, implement, and validate machine learning and agentic flows.
Drive innovation in modeling approaches while balancing accuracy, efficiency, and interpretability.
Lead the design of benchmarking frameworks, evaluation tools, and metrics.
Federato is on a mission to defend the right to efficient, equitable insurance for all. They are AI-native platform that spans the full policy lifecycle. They move fast, are eager to listen to our users, take a first principles approach to solving problems, and value learning.
Design, develop, and deploy robust ML systems and multi-model AI agents that solve real-world retail challenges.
Lead the entire lifecycle, including prototyping, deployment, monitoring, and maintenance using modern CI/CD and containerisation practices.
Build high-performance data pipelines (ETL/ELT) for both training and real-time inference, ensuring our systems are scalable and reliable.
EDITED is the world’s leading AI-driven retail intelligence platform. They empower the world’s most successful brands and retailers with real-time decision making power. Their environment is dynamic and supportive, encouraging team members to take initiative, innovate, and continuously grow.
Act as a solution expert across ML domains including evaluations, training, inference, data pipelines, quality, and optimisation.
Work directly alongside product teams as a trusted partner, helping them navigate technical challenges and arrive at effective solutions.
Develop blueprints, patterns, and paved roads that allow other teams to follow proven approaches and accelerate their own implementations.
Canva is a design platform that enables users to create professional designs. They have a flagship campus in Sydney, a second campus in Melbourne, and co-working spaces in other locations, with a flexible work environment.
Manage, mentor, hire and grow 8+ ML Engineers and Data Engineers across three distinct teams
Be a strong technical partner for engineers to guide ML system architecture, model deployment, and data platform design & execution
Ensure ML solutions are production-grade, scalable, observable, cost effective and maintainable
Apella is applying computer vision and machine learning to improve the standard of care in surgery. They build applications to enable surgeons, nurses, and hospital administrators to deliver the highest quality care; they are committed to equal employment opportunity.