Responsibilities
- Create and deploy sophisticated deep learning systems such as transformers, CNNs, and LSTMs to solve challenging fraud detection problems.
- Develop and refine predictive models using multiple data formats, including structured tables, text, 3D point clouds, and visual imagery.
- Lead assigned initiatives independently, delivering technical solutions and functional outcomes with limited oversight.
- Engage in end-to-end machine learning workflows, from initial data analysis and feature creation to model training, validation, and production deployment.
- Work collaboratively across departments, exchanging insights and integrating varied viewpoints to improve project outcomes.
- Make regular technical judgments and help shape functional goals through active and forward-thinking involvement.
- Keep up with emerging trends in artificial intelligence and machine learning to apply cutting-edge methods to practical challenges.
- Present findings and technical results clearly to audiences with varying levels of technical expertise.
Benefits
- The company promotes equal opportunity employment and embraces diversity in all its forms.
- Applicants needing support during the hiring process, including accommodations for interviews or onboarding, should contact a recruiting representative directly.
Other
- Sponsorship for visas is not offered at this time or in the future.
- The organization supports equal employment opportunity and fosters inclusivity across all dimensions.
- Prohibited grounds for employment decisions include race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, and disability.
- Candidates requiring accommodations during application, interview, or onboarding should contact their recruiting contact for assistance.
Not available now or in the future.
