Translate complex business problems into solutions that leverage end-to-end, production-level machine learning systems
Develop, iterate on, and productionize machine learning models, owning both model logic and supporting systems.
Implement and own backend pricing services and APIs consumed by the Lime App.
Lime is a global shared micromobility business, operating in close to 30 countries. They are on a mission to build a future where transportation is shared, affordable, and carbon-free. They consider themselves an equal opportunity employer with a diverse and inclusive culture.
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.
Work in a small, cross-functional team of 3-4 people focused on AI/ML systems.
Take ownership of projects from ideation to deployment with a high degree of autonomy.
Collaborate with product managers and stakeholders to understand customer pain points and deliver impactful solutions.
TriumphPay is building the transportation payments network for the future. Their software touches a combined $37.1B in annualized freight volume. They foster an environment that provides exceptional customer service, entrepreneurial spirit, and building successful partnerships with their clients.
Guide the technical direction of Bondora’s ML engineering stack by selecting, evaluating, and implementing technologies to improve scalability and reliability.
Lead complex, high-risk, or cross-departmental projects that directly influence Data Science delivery, risk model performance, and production stability.
Act as the bridge between Data Science, Data Engineering, and Development to identify and solve systemic technical challenges.
Bondora's mission is to empower people to enjoy life more while alleviating the stress of managing finances. Founded in 2008, Bondora has served over 1 million customers for 16 years and is rapidly growing as a fintech company, set to acquire a banking license and expand investment and loan products across Europe.
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.
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.
Lead hands-on development of EnableComp’s predictive intelligence platform.
Own ML model development for work prioritization, business insights, and strategic decisions.
Architect and build the platform before scaling a team.
EnableComp solves complex claims. With Complex Revenue Intelligence™ (CRI), they help hospitals recover $3 billion annually, recognized as Black Book’s #1 Specialty RCM provider and a Top Workplaces honoree, with a SOC 2 Type II and HITRUST e1-certified platform.
Lay down the first ML and statistical components of the data science platform
Translate business problems and feature needs to machine learning problems
Implement always-on training pipelines
Kamino Retail, powered by Equativ, is a pioneering SAAS platform at the forefront of retail media innovation. They equip retailers with advanced tools and solutions to revolutionize their advertising strategies, amplify customer engagement, and drive concrete results.
Own ML powered features from design through deployment, partnering with product, design, and engineering to scope work and define success metrics.
Calendly's product enables millions of people to coordinate easily. They are experiencing exciting product growth, making it a great time to consider joining their journey.
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.
Help build the discovery feed, the core recommendations engine.
Partner with the CEO and co-founders to execute on a vision that redefines discovery.
Design, implement, and iterate on large-scale ML systems to reach product/market fit.
Circle is building an all-in-one platform for online communities. They are a fully remote company of around 200 team members from 30+ countries, focusing on asynchronous work and documentation.
Lead the development and application of machine learning and LLM-powered models across various functions.
Translate business problems into clear modeling objectives and experimentation plans.
Manage and mentor applied ML practitioners, setting high standards for modeling rigor.
Gametime helps people connect through shared experiences by making it easy to discover and access live events. They operate platforms across the US and Canada, reimagining the event ticket industry to move at the speed of life.
Develop and maintain SentiLink’s fraud detection models through the full model development lifespan.
Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
Research new types of fraud and develop new SentiLink products around identity verification.
SentiLink provides identity and risk solutions, empowering institutions and individuals to transact with confidence. They are backed by world-class investors and have been named to the Forbes Fintech 50 list every year since 2023.
Engineer logic for serializing Reddit’s complex conversational trees into optimal training contexts.
Reddit is a community-driven platform where users submit, vote, and comment on what interests them. With over 100,000 active communities and 116 million daily active users, they foster open conversations and shared interests.
Design, implement, and maintain robust, containerized, and reproducible pipelines for model training, evaluation, and deployment—across both batch and real-time settings.
Build and manage ML services, APIs, and model serving infrastructure using tools like MLflow, Amazon SageMaker, and Feature Store.
Set up and maintain monitoring, observability, and alerting systems to ensure high availability and performance (including model/data drift, feature logging, and inference latency).
AUTO1 Group Technology drives innovation in the used car market across Europe. They operate at the intersection of software engineering, data science, and DevOps, helping bring state-of-the-art ML models—such as large-scale recommendation systems and transformer-based neural networks—safely into production.
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.
Partner with Applied ML engineers to define the requirements for discovery and ranking algorithms.
Act as the Product Owner for our internal experimentation tools and define the technical requirements.
Serve as the technical translator between the Data/ML teams and the core Product, Design, and Engineering (PDE) squads.
Gametime aims to unite the world through shared experiences by making it easy for people to discover and access live events. They operate platforms on iOS, Android, mobile web and desktop, supporting more than 60,000 events across the US and Canada.
Develop distribution policies that support creativity and address content policy risks.
Partner with various teams to ensure policies are operationally feasible and user-friendly.
Represent Patreon externally, collaborating with industry groups and regulators.
Patreon is a media and community platform where creators give their fans access to exclusive work. They are leaders in the space, with over 300,000 creators and over 25 million paid memberships; their goal is to fund the creative class. They invest in building creator products with the best team in the creator economy.