

As an Applied Research Manager, you lead scientists and engineers, guiding major projects. This role is a unique blend of technical leadership and people management, perfect for a seasoned researcher who excels at both.
Manage a group of researchers and technologists, aligning the team's work with product initiatives and encouraging the professional development of your team members.
Take on vague and ambitious business problems, translating them into principled, solvable research plans and driving them from idea to production.
Serve as the technical project lead for critical initiatives, collaborating with product managers and engineers to build robust data pipelines and scalable algorithmic systems.
Mentor junior researchers and engineers, setting the bar for technical excellence and helping to establish and improve scientific processes across the organization.
Act as a key technical voice in discussions across teams, influencing technical direction and contributing to the broader org and company strategy.
An experienced and strong practitioner of machine learning with deep industrial experience in one or more of the following: classification, regression, recommendation systems, ranking systems, online advertising, or fraud detection.
Proven track record to lead complex projects, reduce ambiguity, and make critical technical decisions that balance short-term needs and long-term vision.
Experience designing and operating big data processing pipelines using technologies like Hadoop, Spark, Hive, or SQL.
Strong programming skills and experience building large-scale backend systems using languages such as Python, R, Java, Scala, or C++.
Excellent communication, collaboration, and mentoring skills, with a track record of influencing others and driving consensus.
PhD in Computer Science, Statistics, or a related field with 4-8 years of industry experience, OR a Master's degree with 8-11 years of industry experience.
A history of publishing in top-tier academic conferences is a strong plus.
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