Jobs for Humanity is partnering with Capital One to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from the following communities: Refugee, Neurodivergent, Single Parent, Blind or Low Vision, Deaf or Hard of Hearing, Black, Hispanic, Asian, Military Veterans, the Elderly, the LGBTQ, and Justice Impacted individuals. This position is open to candidates who reside in and have the legal right to work in the country where the job is located.

Company Name: Capital One

Title: Director, Applied Research Job Description: At Capital One, we are revolutionizing the banking industry by creating trustworthy and reliable AI systems. Our machine learning applications are changing the way customers interact with their money, making banking more humane and simple. We are looking for a Director of Applied Research to join our team and help us reimagine how we serve our diverse customer base. Responsibilities: - Collaborate with cross-functional teams to develop and deliver AI-powered products that enhance the customer experience. - Utilize a wide range of technologies to uncover insights from large volumes of numeric and textual data. - Build AI foundation models throughout the entire development process, from design to implementation. - Conduct high-impact applied research to push the boundaries of AI and create innovative customer experiences. - Translate the complexity of your work into tangible business goals using strong interpersonal skills. Ideal Candidate: - Passionate about making the right decisions for our customers. - Stay current on emerging technologies and continually evaluate their applicability. - Thrive on solving big, undefined problems and aren't afraid to share new ideas. - Challenge conventional thinking to improve the status quo and develop talent within your team. - Comfortable with open-source languages and have hands-on experience with AI foundation models. - Deep understanding of AI methodologies and experience building large-scale deep learning models. - Strong engineering mindset with a track record of delivering models at scale. - Proven track record of innovation in machine learning through publications or projects. - Ability to autonomously pursue a research agenda and tackle impactful research problems. Basic Qualifications: - Ph.D. with at least 4 years of Applied Research experience or M.S. with at least 6 years of experience. - Minimum of 3 years of people leadership experience. Preferred Qualifications: - PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering, or related fields. - Experience in specific AI focuses like Natural Language Processing (NLP) or Behavioral Models. - Deep expertise in areas such as training optimization, self-supervised learning, robustness, explainability, or reinforcement learning. Salary and Benefits: - Salaries vary by location. For example: - New York City (Hybrid On-Site): $322,000 - $367,500 per year. - San Francisco, California (Hybrid On-site): $341,200 - $389,400 per year. - Comprehensive and competitive benefits package available, supporting your total well-being. - Performance-based compensation, including cash bonuses and long-term incentives. - Capital One is an equal opportunity employer, committed to diversity and inclusion in the workplace. To apply for this position or request accommodation: - If you require an accommodation during the application process, please contact Capital One Recruiting at 1-800-304-9102 or email [email protected]. - For technical support or questions about Capital One's recruiting process, email [email protected]. Note: This job posting is for positions within the United States. Capital