Do you have a passion for building machine learning systems that work at massive scale in the cloud? Capital One is searching for ML Scientists with a passion for building tools, platforms, and pipelines to join our Card Machine Learning team. You ll bring your strengths in machine learning, data engineering, and devops to join with a dynamic team of scientists, software developers, and data engineers to radically reimagine what ML can do at scale. In this role you ll be working with cutting edge technologies such as Kubernetes, Istio, Spark, and Tensorflow to build a next-generation machine learning platforms that enable rapid model training, deployment, monitoring, and real-time refit. 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. In this role, you will apply your expertise to inform 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 ML 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.
-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.
-Leader. You challenge conventional thinking and traditional ways of operating and you work with stakeholders to identify and improve the status quo.
-Master s Degree plus 3 years of experience in machine learning, or PhD
-At least 3 years coding experience with open source programming languages such as R, Python, or Scala;
-At least 1 year experience developing solutions that leverage one or more of the following: operations research, natural language processing, machine learning, deep learning, video analysis, image analysis, or time-series analysis.
-At least 1 year experience working with AWS, Azure, or similar cloud platform
-PhD in a Machine Learning discipline
-At least 3 years experience working with AWS, Azure, or similar cloud platform
-At least 4 years experience developing solutions in Python, Scala, or R-Top-tier peer-reviewed publications on NLP research
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