Capital One Principal Associate, Data Scientist - Speech in McLean, Virginia
McLean 2 (19052), United States of America, McLean, Virginia
At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.
Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.
Principal Associate, Data Scientist - Speech
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
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 and natural language processing - deep learning, reinforcement learning, genetic algorithms, representation learning - 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.
As an ML Scientist at Capital One, you’ll be joining an applied research group that’s driving the next wave of disruption at a whole new scale. Using the latest technology and state-of-the-art machine learning, you’ll unlock opportunities that help everyday people save money, time and difficulty in their financial lives. Our data scientists partner closely with team members, engineers, product managers and business stakeholders to innovate and build ML-based speech applications at the largest scale. Speech scientists in this group work on an array of challenging problems, including speech recognition in noisy environments, speech and emotion detection, and the next generation of virtual assistants. In this role, you will apply expertise in speech processing, ML engineering and reproducible science to support design, execution and delivery of these business critical outcomes. We also encourage active participation in the wider research community.
The Ideal Candidate is:
Technical. You are independent and can develop your own algorithms and experiments. You have hands-on experience developing speech processing solutions, from concept to production, and selecting the right tool for the job at hand. You have experience with cloud computing and IAAS. You are fluent in Python and comfortable with C/C++ or Java/Scala.
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art speech processing 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.
Bachelor’s Degree plus 5 years of experience in machine learning-based audio processing, or Master’s Degree plus 3 years in machine learning-based audio processing, or PhD
At least 1 year of experience in open source programming languages
At least 1 year of experience developing solutions that leverage one or more of the following: distributed computing, databases, machine learning, or speech processing
Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in applying machine learning-based audio processing, or PhD in a machine learning discipline
At least 1 year of experience working with AWS
At least 3 years’ experience in Python, C/C++, Scala, or Java
At least 3 years developing production software and libraries
At least 3 years’ experience with machine learning, speech processing or audio signal processing
At least 1 peer reviewed publication demonstrating best practices for conducting applied research
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.