Research Scientist II
About The Position
As a Research Scientist II on the Video team, you will independently drive core research initiatives, deliver reproducible experimental results, and help translate machine learning models into real-world product solutions. In this role, you will conduct research to develop new functionalities and improve existing technologies for real-time video processing and meeting analytics. You will design, implement, and evaluate deep learning algorithms related to video processing, face recognition, and video deepfake detection. You will also design, develop, and maintain internal research packages to train and test ML models, ensuring absolute reproducibility and computational efficiency. Furthermore, you will partner closely with research engineers and engineering teams to help deploy research models and tools into production environments. You will participate in cross-functional team meetings, contribute to regular research and code reviews, and publish patents and peer-reviewed papers in top computer vision, audio, and speech conferences.
Requirements
- PhD in a quantitative field (e.g., Computer Science, Mathematics, Engineering, Artificial Intelligence) or equivalent industry research experience.
- 3+ years of professional experience in Deep Learning, specifically applied to computer vision, face recognition, video deepfake detection, or general machine learning.
- Strong programming proficiency in Python with a proven ability to design, develop, and maintain research packages to train and test ML models.
- Hands-on mastery of modern machine learning frameworks such as PyTorch, TensorFlow, or Keras.
- A proven track record of successful, timely project delivery and the ability to contribute to patents and peer-reviewed publications.
Nice To Haves
- Functional programming experience in C/C++ or working knowledge of deployment environments using Go, TF-Lite, and TF-Micro.
- Practical experience with real-time video processing pipelines and video data acquisition/preparation tasks.
- Foundational domain knowledge of biometrics, identity authentication, fraud patterns, or consumer security concepts.
Responsibilities
- Conduct research to develop new functionalities and improve existing technologies for real-time video processing and meeting analytics.
- Design, implement, and evaluate deep learning algorithms related to video processing, face recognition, and video deepfake detection.
- Design, develop, and maintain internal research packages to train and test ML models, ensuring absolute reproducibility and computational efficiency.
- Partner closely with research engineers and engineering teams to help deploy research models and tools into production environments.
- Participate in cross-functional team meetings, contribute to regular research and code reviews, and publish patents and peer-reviewed papers in top computer vision, audio, and speech conferences.
Benefits
- Competitive compensation package, including RSUs (Restricted Stock Units) for all employees
- Remote-first environment
- Unlimited Paid Time Off (PTO)
- Generous health and welfare plans to choose from - including one employer-paid “employee-only” plan!
- Best-in-class Health Savings Account (HSA) employer contribution
- Low-cost vision and dental plans for you and your family
- Paid Parental Leave - Including birth, adoptive & foster parents
- One year of diaper delivery for your newest addition to the family!
- Recurring monthly phone and internet allowance
- Enhanced fertility and GLP-1 benefits
- Annual Learning & Development stipend
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
