The Card ML team is working to transform every corner of our business with machine learning. To accomplish this goal, we use the latest techniques in machine learning - deep learning, reinforcement learning, genetic algorithms, and natural language processing - and marry them with real-time streaming data in the cloud, to create best-in-class enterprise-scale ML products. We tackle a huge variety of business problems and work with vast quantities of data of every kind.
Role Summary:
As a Sr. Manager of machine learning at Capital One, you ll be leading a research group that s part of driving the next wave of disruption at a whole new scale, using the latest in distributed computing technologies and operating across billions and billions of customer transactions to unlock the big opportunities that help everyday people save money, time and difficulty in their financial lives. We do machine learning research and product development differently at Capital One. ML scientists aren t siloed in the lab, but instead partner closely with Software Engineers, Product Managers, and business stakeholders, to discover, invent, and build at the largest scale. Ideas may come from internal projects as well as from academic partnerships with world-class institutions. NLP Scientists work on building state of the art speech recognition in noisy environments, building models and deriving insights from customer interactions, and enabling products that help customers complete tasks via natural language conversation. In this role, you will apply your expertise in NLP (extraction, summarization, classification, understanding, generation), machine learning or speech processing, to guide a research group s agenda and drive critical business outcomes. You stay connected to the wider research community as an active contributor.
The Ideal Candidate will be:
-Technical. You are independent and can develop your own algorithms and experiments. You have hands-on experience developing NLP solutions, from concept to production, and selecting the right tool for the job at hand. You understand modern cloud computing. Lots of data do not frighten you, they present a challenge you are eager to take on. You know R, Scala, and/or Python.
-Leader. You are an effective mentor, leader, and research group head. Able to guide a team through a cohesive research and execution strategy towards a unified business outcome. You challenge conventional thinking and traditional ways of operating and you work with stakeholders to identify and improve the status quo.
-Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art ML methods, technologies, and applications. You ask why, explore and openly share your disruptive ideas.
-Business-Minded. You can analyze customer needs and drive towards impactful business outcomes.
Basic Qualifications:
-Master s Degree plus 6 years of experience in machine learning, or PhD plus 3 years of experience in machine learning
-At least 3 years coding experience with open source programming languages such as R, Python, or Scala;
-At least 3 years experience in natural language processing, speech recognition, or computational linguistics
Preferred Qualifications:
-PhD in a Machine Learning discipline plus 3 years of experience in machine learning
-At least 2 years experience working with AWS, Azure, or similar cloud platform
-At least 5 years experience developing solutions in Python, Scala, or R-Top-tier peer-reviewed publications on NLP research
-At least 1 year experience working with AWS, Azure, or similar cloud platform
-At least 3 years experience developing enterprise-scale solutions that leverage one or more of the following: operations research, natural language processing, machine learning, deep learning, video/image analysis, or time-series analysis.


Associated topics: chief program officer, cpo, manage, manager, management, monitor, product manager, project manager, relationship manager, task

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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