Flagright helps businesses stop financial crime with an all-in-one platform for AML compliance & fraud use cases. Our developer-friendly API enables customers to set up their infrastructure in just 4 days. We are a Y Combinator company based in Berlin, Germany, serving customers from 6 continents.

Financial institutions face significant financial crime risks, including money laundering and fraud. These risks can not only result in financial losses and reputational damage for the businesses, but also harm consumers and society as a whole. Consumers may lose their savings if their accounts are used for money laundering purposes, and society may suffer from the negative impacts of terrorist financing and other illegal activities. We believe in enabling businesses with a fast, easy, and affordable security infrastructure.

As a Machine Learning Engineering Intern at Flagright, you will work on designing and developing algorithms and models that drive intelligent decision-making across our services. This will be accomplished by implementing end-to-end data workflows, processing, tagging, and publishing, with an eye towards improving ML model performance over time. You will be asked to coordinate internal and external resources, technology stack and algorithmic approach.

This is a remote position, so you will need to be self-motivated and able to work independently under minimal supervision. At Flagright, we offer exciting career growth opportunities for motivated individuals who are looking to take the next step in their careers. If you are highly driven, enthusiastic, and looking for an exciting opportunity to join an early-stage startup, we want to hear from you.

🛠 You will

• Be a core contributor to Flagright’s v1 machine learning infrastructure.
• Apply machine learning techniques to solve complex problems across various real world use cases like anti-fraud and financial crime prevention.
• Scope, design and implement solutions that make the appropriate tradeoffs between resiliency, durability, and performance while maintaining a high level of data quality.
• Work with large datasets and develop efficient data processing pipelines
• Build the infrastructure that can enable the development, training and testing of machine learning models.
• Build the systems that ensure the models are performant, scalable and robust
• Design and develop software solutions that incorporate machine learning models into Flagright’s core anti-fincrime software.
• Stay up to date with the latest advancements in machine learning and apply them to our products and services

🙌 Your profile

• Currently pursuing a master's degree in machine learning, or an engineering focused field with focus on Machine Learning, at a US, UK, or EU university.
• 2+ years of work experience in machine learning engineering or a related field
• Fluency in python or an equivalent language for modern backend development
• Strong experience with Cloud architectures (e.g. AWS, GCP)
• Proficiency with popular open-source machine learning frameworks (scikit-learn, MLlib, pytorch, tensorflow, xgboost, etc.).
• Experience developing foundational and diverse data sources, and generating metrics to measure service and program effectiveness.
• Excellent communication skills in English, both written and verbal

💯 Preferred Qualifications

• Experience in building machine learning infrastructure and data pipelines
• Previous experience in data engineering domain
• Good understanding of parallel computing, system efficiency and scalability
• Previous experience or a background in finance and/or fintech.
• Curiosity, pragmatism, fast learner and ability to bring a new perspective to our team.
• Experience in considering Information Security criteria under SOC 2, GDPR, and CCPA

🤗 Benefits

• Do something meaningful; help stop human trafficking, money laundering, child labor; Be a part of enabling the future of how money moves.
• Work alongside a highly competent, top-tier team (Y Combinator, ex AWS, Zalando, Palantir).
• Great career development opportunities in a fast-growing early stage startup.
• Low-bureaucracy, minimal meetings, async communications culture, international culture, flat organization.
• We do not recommend you to apply if you aren't confident in delivering results. We maintain an extremely high bar for all of our team members. We do performance evaluations honestly & fairly, not kindly.

Please note, remote candidates will be hired as a contractor via Deel.com

Go, NoSQL Columnar DBs (Cassandra/DynamoDB), Node.js, React, Typescript, Spark, Kafka