Contribute to the architecture and improvement of our data acquisition and processing platform, increasing reliability, throughput, and observability.
Use and develop web crawling technologies to capture and catalog data on the internet.
Build, operate, and evolve large-scale distributed systems that collect, process, and deliver data from across the web.
People Data Labs provides people and company data, integrating thousands of compliantly sourced datasets into a single source of truth. They are a remote-first company focused on building innovative data solutions, with a collaborative team that values ownership and learning from failure.
Lead the evolution of personalized recommendation systems using machine learning.
Build, deploy, and optimize machine learning models in production.
Collaborate with cross-functional teams to deliver AI-driven experiences.
The company builds advanced machine learning solutions to improve user discovery and engagement. It operates as a fully remote global team with a focus on collaboration and innovation.
Lead cross-functional efforts to re-architect or modernize core data systems.
Create sustainable data contracts that address data governance requirements.
Enable scalable, secure, and reliable data pipelines supporting both cloud and on-prem environments.
Dragos is the global leader in xOT cybersecurity, combining technology, threat intelligence, and expert services. The company is remote-first with a mission-driven team across North America, Europe, the Middle East, and APAC, built on authenticity, transparency, and trust.
Contribute to the design and development of AI agents integrated into live production systems.
Build and maintain benchmark datasets to evaluate agent performance, accuracy, and safety.
Design and refine prompts, tool integrations, and agent workflows.
Binance is a leading global blockchain ecosystem behind the world's largest cryptocurrency exchange. It is trusted by over 320 million people in 100+ countries and fosters a results-driven, innovative culture with a flat structure.
Build advanced machine learning models to detect and prevent financial crime, reducing fraud and scams.
Work cross-functionally with product managers, data scientists, and engineers in an agile environment.
Provide technical leadership and mentorship to drive up standards in machine learning practices.
Monzo is on a mission to make money work for everyone by offering personal and business bank accounts, savings, investments, and credit cards in the UK. With over 25 people in the Financial Crime Data team, we foster a culture of innovation and inclusivity.
Design and implement scalable, low-latency real-time data streaming architectures and end-to-end data pipelines for high-volume systems.
Develop clean, maintainable, and efficient code using technologies such as Go, Python, TypeScript/Node.js, Scala, and SQL.
Build and optimize complex data processing workflows handling structured and unstructured data sources.
Our partner is looking for a Sr. Data Engineer - Data Analytics based in India. The company operates in a global, remote-first environment with a multicultural team spanning 45+ nationalities, focusing on work-life balance and employee well-being.