Build and scale the roadmap for fraud decisioning, ensuring our models stay ahead of emerging typologies.
Mentor and develop a team of data scientists, fostering a culture of mastery and continuous learning.
Partner with Product and Engineering to design and deploy real-time decision logic and data architectures.
Moniepoint is a global fintech building modern financial services for millions of people and businesses across high-growth markets. They provide payments, banking, credit, and financial management tools, reliable products that people and businesses use every day.
Investigate new feature extraction and data augmentation techniques for generative image/video detection.
Collaborate with scientists and engineers across the organization. Perform research into deepfake image/video detection.
Aid in integrating insights gained from research into RD products.
Reality Defender, Inc. focuses on detecting and defending against manipulated media. We didn't find information about company size, culture, or number of employees.
Experiment with novel language model architectures, helping drive and execute Fastino's research roadmap
Optimize Fastino’s multimodal models to improve response quality, instruction adherence, and overall performance metrics
Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories
Fastino is building the next generation of LLMs. Their team, boasting alumni from Google Research, Apple, Stanford, and Cambridge, is on a mission to develop specialized, efficient AI and has raised $25M through their seed round.
The projects’ research assistants (RAs) will work with the PIs.
Key tasks are likely to include analyzing datasets, designing visualisations, and extracting edge-lists.
RAs will meet with faculty supervisor on regular basis to maintain ongoing communication regarding the quality of the assistant’s performance.
Northeastern University London is a prestigious higher education institution based in the heart of London and is part of Northeastern University’s global campus network. They offer academically challenging educational programmes designed to inspire innovative thinking and encourage interdisciplinary study. The staff is a collective of entrepreneurs and educators, builders and thinkers. NU London is growing quickly, offering opportunity and growth for staff, aiming to have 4000 students by 2028/29.
They deliver cutting-edge ML and GenAI solutions across diverse industries and collaborate with global organizations. The company solves real-world challenges at scale with dynamic, high-impact projects.
Focuses on simplifying the infrastructure behind large language model (LLM) integrations, runtime orchestration, and data workflows.
Work at the intersection of LLM tooling, serverless infrastructure, and financial data systems.
Make spawning new research pipelines seamless and scalable.
The client is one of the world's fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. They help customers by working with the world’s leading AI labs to advance frontier model capabilities and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.
Lead the design, implementation and application of graph ML and network biology approaches to target discovery from RWD and multi-omic datasets.
Prototype new approaches aimed at enhancing and improving Valo’s graph platform, seeking out new scientific opportunities to increase the team’s impact.
Work with world-class engineers to ensure that graph methodologies, graph construction, and underlying data are robustly integrated, to develop generalizable solutions to core scientific problems.
Valo Health is a human-centric, AI-enabled biotechnology company working to make new drugs for patients faster. Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together.
Deep-dive into sessions, users, and transactions to uncover fraud patterns others miss
Recommend and optimize risk rules balancing fraud prevention and customer experience
Work closely with Engineering, Product, and Data Science to improve our platform
Sardine is a leader in fraud prevention and AML compliance which 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, valuing performance and high-growth orientation.
Develop and deploy novel ML models that improve the accuracy of patient-level data linking.
Contribute key architectural improvements to the Marmot LLM infrastructure, specifically focusing on reducing manual drift.
Build API-driven reconciliation jobs and data normalization scripts to ensure a unified and consistent view across our data estate.
Komodo Health's mission is to reduce the global burden of disease. They built the Healthcare Map, the industry’s largest, most complete, precise view of the U.S. healthcare system. They are a team of ambitious, supportive Dragons with diverse backgrounds but a shared passion.
Implement the latest research advances in Neural Rendering and generative models.
Translate cutting edge solution in the domain of autonomous driving for high-quality Camera, LiDAR and Radar sensor simulations.
Design, implement, test and deploy shippable production quality software starting from early prototypes using disciplined software development processes.
Torc is dedicated to transforming travel, freight, and business through autonomous vehicle technology. As a part of the Daimler family since 2007, they're focused on creating software for automated trucks, fostering a collaborative, energetic, and team-focused culture.
Design, build, and maintain secure, compliant ML infrastructure and automation adapted for high-sensitivity environments.
Develop and productionize machine learning and data pipelines serving real-time models that fight fraudulent traffic, spam, and bots.
Extract valuable signals from massive datasets, using your expertise to turn raw data into actionable insights.
Yelp is driven by their values, they’re a cooperative team that values individual authenticity and encourages creative solutions to problems. They are all about helping their users, growing as engineers, and having fun in a collaborative environment and are an equal opportunity employer.