Design and implement large-scale distributed data processing systems.
Build robust data pipelines and infrastructure that transform complex data into actionable insights.
Architect data lakes, warehouses, and real-time streaming platforms.
Cloudbeds is transforming hospitality with an intelligently designed platform that powers properties across 150 countries. With a completely remote team of 650+ employees across 40+ countries, they are solving challenges and redefining what's possible in hospitality.
Extract insights from data and deliver a ML project from beginning to end.
Develop machine learning algorithms with huge data sets to solve challenging business questions.
Discover new data sources and create new input features for ML models.
Experian is a global company providing data services. They help organizations and consumers manage risk and make informed decisions. With over 125 years of experience and 21,700 employees across 30 countries, they are dedicated to innovation and prioritize inclusive culture, employee well-being, and career development.
Develop and test new modeling approaches using deep learning architectures such as transformers, embeddings, and neural networks.
Build and refine frameworks that integrate into Tilt’s existing ML pipelines to improve credit modeling and loss prediction.
Work closely with data scientists, engineers, and product partners to translate complex ideas into practical solutions.
Tilt (formerly Empower) creates mobile-first products and machine learning-powered credit models to look beyond outdated credit scores. They are named among the next billion-dollar startups and are creating a new credit system that backs the working.
Improve our existing machine learning systems using your core coding skills and ML knowledge
Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems
Apply state-of-the-art machine learning algorithms at scale and serving for next-generation targeting and bidding products that directly impact the company’s top line metrics
Quora's mission is to grow the world's collective intelligence with 300M monthly unique visitors on their knowledge sharing platform and millions of users on Poe, where they can chat, explore and build with a wide variety of AI language models (bots). They have passionate, collaborative, and high-performing global teams and a culture rooted in transparency, idea-sharing, and experimentation.
Completing AI training tasks such as analyzing, editing, and writing in Mandarin
Judging the performance of AI in performing Mandarin prompts
Improving cutting-edge AI models
Prolific is building the biggest pool of quality human data in the world and is not just another player in the AI space. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
Define, plan, and execute analyses regarding innovation initiatives, methodology development and improvement as well as process automation.
Prototype solutions and support pilot programs for R&D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalization.
Test-driven development of scalable data processing applications.
NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.
Producing descriptive analyses of human traffic patterns, referrers, and indicators of traffic stability over time.
Supporting preliminary assessments of how traffic sources relate to on-wiki engagement.
Assisting in analyses of cases where sudden changes in visibility allow us to study downstream impacts on editing activity or content quality.
The Wikimedia Foundation operates Wikipedia and other Wikimedia free knowledge projects. It is a charitable, not-for-profit organization that relies on donations with offices in San Francisco, California, USA and values having a diverse workforce.
Improve our existing machine learning ranking models using your core coding skills and ML knowledge
Identify new opportunities to apply machine learning to different parts of the Quora product
Work with other machine learning engineers to implement algorithms and systems efficiently
Quora's mission is to grow the world's collective intelligence with platforms like Quora and Poe. It is a remote-first company with passionate, collaborative, and high-performing global teams, rooted in transparency, idea-sharing, and experimentation.
Evaluate AI-generated French speech and text for linguistic accuracy, naturalness, and educational quality.
Assess learner speech and writing across proficiency levels from CEFR Pre-A1 through B2+.
Apply expert judgment to identify learner errors, unnatural phrasing, and pedagogical gaps.
Alignerr partners with leading AI labs to build expert-driven data pipelines. They improve how models reason, learn, and communicate by working with domain specialists to evaluate and refine AI systems where precision, pedagogy, and human judgment matter most.
Collect, clean, and analyze large datasets to uncover trends.
Perform exploratory data analysis to uncover patterns.
Collaborate with Safety Ops, product, and engineering teams.
VRChat offers a first-of-its-kind, game-changing platform that provides an endless collection of social VR experiences and gives the power of creation to its robust community. The company has raised $100M to date and fosters a diverse, creative, and collaborative environment.