Many of the world’s most challenging problems, from financial markets to geopolitics, are fundamentally problems of human attention. To help decision makers tackle this complexity and make better decisions, Predata is distilling the world’s web traffic into concise indicators of trends, viewpoints, and business processes.

As a Senior Machine Learning Research Engineer on the team, you’ll help build the algorithmic foundations of Predata’s global intelligence platform, and have the chance to interact with other teams and cross-functional stakeholders across a wide range of industries.

What you’ll do

• Improve datasets currently utilized by Fortune 500 companies, top-tier hedge funds, and government agencies
• Build cutting-edge models of online activity, fusing data from millions of “sensors” — web pages across the internet — into a complete picture of global attention
• Model the online attention environment before and after major events
• Model how attention to news affects the flow of web traffic
• Model the seasonal drivers of human activity
• Help shape the company’s long-term ML strategy

This position will report to the Director of Machine Learning

What you bring

• 3+ years of ML research + engineering experience in a leading academic or industry context
• An extensive track record of shipping cutting-edge and impactful ML products
• Excellent grasp of the mathematical foundations of machine learning theory and recent advances in the field
• Practical experience with modern ML frameworks: able to rapidly prototype ideas from the latest research
• Comfortable doing anything and everything in modern Python and processing data in Unix-like systems
• A focus on clear and effective communication

Things you are excited about:

• Topological data analysis
• Multi-task learning
• Machine learning on graphs
• Point processes
• Augmenting human capabilities

Perks

• 3 weeks paid time off
• Health, vision, and dental insurance
• 401(k)
• Commuter benefits
• Gym membership subsidy
• Trendy SoHo office
• Dog-friendly workplace