We are looking for a Research Scientist to lead innovation in real-time video analysis, with a focus on detecting synthetic media and enhancing fraud detection systems. This role centers on developing novel algorithms in computer vision and deep learning, with direct impact on product capabilities.
Key Responsibilities
- Design and test new algorithms for video processing and meeting analytics to improve system accuracy and performance.
- Conduct foundational research in deepfake detection, face recognition, and multimodal signal analysis.
- Prepare and submit patents and scholarly articles to leading conferences in computer vision, audio, and speech.
- Work closely with engineering teams to transition research models into scalable, production-grade tools.
- Participate in technical reviews, contribute to code quality, and ensure reproducibility of experiments.
- Support cross-functional initiatives by translating research insights into actionable product improvements.
Qualifications
Applicants must hold a PhD in Computer Science, Engineering, Artificial Intelligence, Mathematics, or a related quantitative discipline, or have equivalent professional experience. A minimum of three years in deep learning applications is required, particularly in computer vision, audio processing, or machine learning systems.
Essential skills include hands-on experience with real-time video data pipelines, strong proficiency in Python and C/C++, and practical use of deep learning frameworks such as TensorFlow, Keras, or PyTorch. Candidates should have a proven ability to develop and maintain research-grade software packages and deploy models efficiently.
Experience publishing in top-tier research venues and filing patents is expected. The role also demands collaboration with engineering teams to integrate research outcomes into production environments.
Preferred Skills
- Familiarity with Go programming language.
- Experience using TF-Lite or TF-Micro for model optimization and deployment on edge devices.
Work Environment
This position operates in a remote-first setting, offering flexibility in daily scheduling and work location. The team values autonomy, accountability, and technical excellence, with a culture rooted in innovation, inclusivity, and shared success.
Compensation & Benefits
The salary range for this role is $150,000 to $175,000 USD, with equity offered to all employees. Additional benefits include a one-time home office stipend and a recurring monthly allowance for phone and internet services.
Health and wellness offerings include comprehensive medical, dental, and vision plans, employer-contributed Health Savings Account, life and disability insurance, and access to telemedicine. Paid parental leave is available for all parents, including adoptive and foster parents. Employees also receive identity protection services, a monthly device allowance, and an annual professional development fund.
New parents are supported with a unique benefit: one year of delivered diapers for their newborn. Employees can choose their own Apple MacBook Pro and benefit from a competitive 401(k) match and wellness programs, including an Employee Assistance Program.
