Own the model lifecycle: requirements, experimentation, model development, evaluation.
Translate complex fraud patterns into well-framed ML solutions: defining what to model, what success looks like.
Monitor model quality in production, tracking performance over time, detecting data drift, and determining when to retrain.
Extend is revolutionizing the post-purchase experience for retailers and their customers by providing merchants with AI-driven solutions. They work with more than 1,000 leading merchant partners across industries and are backed by some of the most prominent technology investors in the industry.
Work directly with TelCo clients to uncover emerging fraud trends and co-build detection models using cross-industry data.
Translate ambiguous client questions into clear analytical plans and execute them independently from start to finish.
Build reusable tools, templates, and analytical frameworks to scale the fraud analytics consortium offering.
Experian is a global data and technology company that redefines lending, prevents fraud, simplifies healthcare, and creates digital marketing solutions across multiple industries. As a FTSE 100 company with 23,300 employees across 32 countries, they prioritize innovation, inclusion, and a people-first culture.
Independently deliver analytical projects across the consumer credit lifecycle, including acquisition, account management and collections
Build statistical and machine learning models through all phases of development, from design through training, evaluation, validation and implementation
Use a broad set of technologies: SQL, PySpark, Python, AWS and more to obtain insights from large volumes of data
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. They have an amazing team of 25,200 people in 32 countries.
Define, drive, design, and build/ship end-to-end solutions that solve real customer problems.
Contribute to the end-to-end AI/ML software development lifecycle, ensuring reproducible research.
Drive architecture, design, and delivery of advanced ML systems in the Product R&D team.
Kinaxis is a global leader in modern supply chain orchestration. Known for its AI-infused platform and transparency across end-to-end supply chains, Kinaxis helps customers make faster, better decisions. The company has over 2000 employees worldwide and is recognized with Top Employer awards.
Lead applied ML initiatives for identity verification, focusing on computer vision models like face liveness detection and anti-spoofing.
Build, train, and optimize deep learning models and pipelines on AWS with strong reproducibility and monitoring.
Collaborate across teams to ensure ML solutions meet privacy, compliance, and reliability requirements.
Mitek is a global leader in digital and biometric identity authentication, fraud prevention, and mobile deposit solutions, serving over 7,500 organizations worldwide. The company is headquartered in San Diego with operations across multiple countries and emphasizes a Virtual 1st culture, valuing flexibility and inclusion.
Champion a data-first approach across internal teams and client engagements, promoting clarity and impact
Build and deploy machine learning models to prevent fraud across diverse fintech use cases, from proof-of-concept through to production
Develop and track metrics to measure and monitor the performance of our risk products and the effectiveness of risk management strategies
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. They have raised $145M from world-class investors and maintain a remote-first work culture.
Develop AI systems that automate dispute and chargeback handling using structured evidence and business logic, creating a better experience for our customers.
Build models that automate refunds, getting money back to our customers faster.
Build and maintain evidence extraction pipelines that process unstructured data using LLM-powered workflows to produce structured, actionable outputs.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. They are a remote-first company with competitive benefits and focus on an inclusive interview experience.
Design, develop, and optimize predictive risk models and decision frameworks across payment rails and cryptocurrency domains.
Partner with Product, Engineering, and Operations to embed model-driven risk decisioning throughout the customer journey.
Conduct deep-dive investigations into fraud events and payment losses, supporting model governance and regulatory review.
Binance.US is a licensed and regulated U.S. crypto platform providing secure access to over 190 cryptocurrencies with low fees. It is a remote-first team of innovators building the bridge between traditional finance and Web3, committed to financial freedom for all.
Lead analytical work across the merchant risk lifecycle.
Build and maintain queries, dashboards, and reporting.
Investigate high-risk merchant activity.
Wisetack builds consumer lending products for service-based businesses. They are a well-funded startup backed by leading VCs, and the leadership team comes from top fintech companies.
Design, deploy, and maintain scalable ML infrastructure supporting model training, batch inference, and real-time inference workloads.
National Debt Relief was founded in 2009 with the goal of helping consumers deal with overwhelming debt. They are one of the most-trusted and best-rated consumer debt relief providers in the United States, having helped over 450,000 people settle over $10 billion of debt.
Develop and deploy advanced analytical models, including machine learning, predictive modeling, forecasting, and anomaly detection.
Apply AI/ML techniques to solve complex business problems and identify patterns, risks, and opportunities within large, multi-source datasets.
Design, build, and maintain scalable analytical solutions and reusable data science frameworks.
Cook Research Inc. is a global, family-owned company committed to improving patients’ lives since 1963. They value every voice, bring together inclusive teams who collaborate well, and encourage learning and innovation.
Design, build, and maintain scalable services that support the AI lifecycle.
Develop tools for pre/post-processing data for AI and other usage.
Design scalable pipelines for data collection, processing, and transformation.
Planner 5D is a global hub for home design, uniting over 100+ million users. They simplify the home renovation process with their cutting-edge software, fostering a vibrant community of enthusiastic and product-oriented professionals.
Design and operate core AI platform components for training, deploying, and serving ML models at scale.
Own model serving and inference workflows end-to-end, optimizing for reliability, latency, throughput, and cost.
Collaborate with product, infrastructure, and security teams to build scalable platform capabilities for AI-powered features.
Mozilla Corporation is the non-profit-backed technology company behind Firefox and Pocket, with over 225 million monthly users. A wholly-owned subsidiary of the Mozilla Foundation, the company is mission-driven, employee-owned, and focused on privacy and open standards.
Design, develop, and deploy AI/ML models to automate and improve internal workflow.
Build and maintain ML pipelines within an AWS cloud environment.
Integrate ML capabilities into existing Java and React application workflows.
Oddball aims to improve daily lives by delivering quality software to the federal space. With a team of experienced engineering, product, and UX professionals, we value learning, growth, and making a big impact in a rapidly growing company.
Proactively explore data and identify opportunities to help accelerate product development or improve existing products in Trust and Safety.
Translate analysis and trends into recommendations for business logic to improve identity and fraud conversion rates or fraud rates.
Own end-to-end analytics workflow, including defining success and performance metrics, socialising them across the organisation.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. Affirm is proud to be a remote-first company with competitive benefits that are anchored to our core value of people come first.
Own end-to-end responsibility for building identity verification machine learning models from prototyping to production.
Establish key metrics, derive data-driven insights, and conduct experiments to assess product impact.
Collaborate with Product Managers, Data Scientists, and Engineers to develop state-of-the-art document detection and fraud detection algorithms.
Veriff provides AI-powered identity verification using image recognition, document detection, and fraud detection. With a diverse team in the US, UK, Spain, and Estonia and backing from investors like Accel and Y Combinator, they are dedicated to building a safer online world.
Design, train, evaluate, and ship ML systems for governance and security, starting with prompt injection detection and behavioral anomaly detection.
Build supporting infrastructure including data pipelines, feature stores, model serving, and evaluation harnesses.
Set technical direction for ML work, own architecture, evaluation methodology, and model lifecycle.
Docker provides developer tools for building, sharing, and running applications across Docker Desktop, Docker Hub, and Docker Scout. With over 20 million monthly users and a globally distributed remote-first team, Docker is trusted by solo founders to the world's largest companies.
Design, build, and deploy AI/ML solutions from prototype to production for client business problems.
Apply generative AI and LLMs, establishing MLOps best practices including CI/CD and model monitoring.
Serve as a trusted technical advisor, translating ambiguous problems into well-scoped solutions and presenting to stakeholders.
DevIQ builds modern cloud and data solutions for mid-market companies focused on energy reduction, healthcare, education, and smart cities. The company offers competitive benefits, a strong team culture, and opportunities to work on end-to-end solutions with multi-disciplinary teams.
Oversee work that affects complex systems and mission-critical areas.
Develop and implement new models into production.
Mentor other researchers and provide technical guidance.
Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. They have become a multibillion-dollar asset manager, and they have ambitious goals for the future with a culture of curiosity and creativity.
Owns the technical direction for large-scale machine learning models, guiding the development of advanced deep learning architectures and high-impact ML systems.
Partners with leadership to define ML roadmaps, drive innovation in scalable model design and training approaches.
Ensures efficient, reliable deployment of ML models in production and mentors the team’s technical capabilities.
Reddit is a community-driven platform where users submit, vote, and comment on topics of interest. With over 100,000 active communities and approximately 126 million daily active unique visitors, it is one of the internet’s largest sources of information.