Research Scientist II – Deepfake Detection, Authentication (Video & Audio)

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead research projects independently and produce reproducible experimental outcomes.

• Convert machine learning models into tangible product solutions in areas such as deepfake video, deepfake audio, and voice/identity authentication.

• Perform research aimed at developing and enhancing synthetic media detection, multimodal deepfake identification, and real-time identity authentication.

• Create, implement, and assess deep learning algorithms for detecting audio-visual deepfakes, synthesizing speech, analyzing facial manipulation, and biometric authentication.

• Establish and sustain internal research packages and pipelines for training, evaluating, and benchmarking machine learning models.

• Collaborate with research engineers and engineering teams to transition research prototypes into scalable production systems across both cloud and edge platforms.

• Evaluate model performance, edge cases, attack vectors, and detection shortfalls to enhance model robustness.

• Engage in code and research reviews, cross-functional project meetings, patent submissions, and contributions to peer-reviewed publications.

⛳️ Requirements

• Master’s degree or PhD in Computer Science, Artificial Intelligence, Electrical Engineering, Mathematics, or a related quantitative discipline, or equivalent experience in industry research.

• Over 3 years of professional or post-graduate research experience in Deep Learning, with a focus on computer vision, speech/audio processing, or voice biometrics and identity authentication.

• Practical research experience in audio-visual deepfake detection, synthetic media identification, or multimodal biometric verification.

• Strong programming skills in Python.

• Demonstrated ability to create, maintain, and organize reproducible research tools, experimentation frameworks, or evaluation workflows.

• Proficient in PyTorch, TensorFlow, or Keras.

• Established track record of delivering projects successfully and on time.

• Capacity to translate research insights into actionable improvements.

• Contributions to peer-reviewed publications or patents.

• Nice-to-have: Experience in functional programming using C/C++ or familiarity with ONNX, TensorRT, TF-Lite, or Go.

• Nice-to-have: Familiarity with real-time streaming video or audio processing pipelines and large-scale synthetic data generation/augmentation.

• Nice-to-have: Experience with DFDC, ASVspoof, NIST SRE/FRVT, or Kaggle benchmarks.

• Nice-to-have: Knowledge of NLP, foundational multimodal architectures, or sequence modeling.

🏝️ Benefits

• Competitive compensation package, which includes RSUs (Restricted Stock Units) for all employees.

• Remote-first work environment, offering flexibility and autonomy in your daily schedule.

• Regular team on-site meetings, company-wide events, and intentional gatherings.

• Unlimited Paid Time Off (PTO).

• Comprehensive health and welfare plans, including one employer-funded employee-only plan.

• Superior Health Savings Account (HSA) employer contribution.

• Affordable vision and dental plans for you and your family.

• Paid Parental Leave for birth, adoptive, and foster parents.

• One year of diaper delivery service for your newest family member.

• Monthly allowances for phone and internet expenses.

• Enhanced fertility and GLP-1 benefits.

• Annual Learning & Development stipend to support professional growth, skill development, certifications, and continued education.