Demo

Senior Data Scientist, Computer Vision

Robinhood
Robinhood Salary
Menlo, CA Full Time
POSTED ON 2/2/2025
AVAILABLE BEFORE 4/30/2025

About the team role

We are seeking a skilled computer vision specialist to play a pivotal role in developing a robust ID / selfie verification system designed to detect fraud and improve the customer experience. This position is essential to our business, ensuring the security and trust of our platform. The ideal candidate will be deeply passionate about addressing emerging challenges in fraud detection, such as combating Deepfakes and AI-generated images, and will thrive in a fast-paced, growth-oriented environment. You will be responsible for designing and implementing innovative solutions to mitigate evolving fraud risks while contributing to the overall success of our mission to protect customers.

The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.

What you’ll do

  • Develop and deploy brand-new computer vision models to improve product functionalities and user experiences.
  • Design and implement machine learning systems to address various challenges and opportunities within the financial sector.
  • Collaborate with cross-functional teams to deliver impactful data-driven solutions.
  • Build and refine production-grade models using large-scale datasets, employing statistical modeling, machine learning, and data mining techniques.
  • Drive innovation by combining knowledge from several research domains to solve sophisticated problems.
  • Collaborate with marketing, product, and design teams to cultivate user engagement and business development.

What you bring

  • Proven expertise in computer vision, with a strong portfolio of successful implementations.
  • Advanced degree in a quantitative field such as computer science, engineering, mathematics, or a related field.
  • Proficiency in programming languages such as Python (numpy, scipy, pandas) or R, or equivalent experience.
  • Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
  • Strong analytical skills and a passion for solving complex problems.
  • Excellent communication skills to convey data-driven insights to diverse collaborators.
  • An approach that fosters collaboration and the ability to work effectively in a fast-paced environment.
  • 4 years of professional experience as a Data Scientist.
  • Demonstrated experience in a research setting, either academic or commercial.
  • A true passion for our mission and a dedication to continuous learning and innovation.
  • What we offer

  • Market competitive and pay equity-focused compensation structure.
  • 100% paid health insurance for employees with 90% coverage for dependents.
  • Annual lifestyle wallet for personal wellness, learning and development, and more!
  • Lifetime maximum benefit for family forming and fertility benefits.
  • Dedicated mental health support for employees and eligible dependents.
  • Generous time away including company holidays, paid time off, sick time, parental leave, and more!
  • Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits.
  • We are committed to providing an inclusive and welcoming interview experience for all candidates. If you have any specific needs or require assistance related to a physical or mental condition, please inform us by completing our Applicant Accommodation Form.

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