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.
Improve our existing Ads Recommendation systems using your expertise
Identify new opportunities to apply Machine Learning to different parts of the Quora Ads Product
Work with other engineers to implement algorithms and systems in an efficient way
Quora's mission is to grow the world's collective intelligence through its knowledge-sharing platform and AI language model platform. Behind these products are passionate, collaborative, and high-performing global teams with a culture rooted in transparency, idea-sharing, and experimentation.
Help build the discovery feed, the core recommendations engine.
Partner with the CEO and co-founders to execute on a vision that redefines discovery.
Design, implement, and iterate on large-scale ML systems to reach product/market fit.
Circle is building an all-in-one platform for online communities. They are a fully remote company of around 200 team members from 30+ countries, focusing on asynchronous work and documentation.
Develop machine learning algorithms with huge data sets.
Improve performances of existing algorithms.
Discover new data sources and create new input features for ML models.
Experian is a global data services company that helps organizations and consumers manage risk and make informed decisions. With over 125 years of experience and 21,700 employees across 30 countries, they specialize in data gathering, analysis, and fraud prevention.