Scientist Jobs

About The Position

Requirements

• Master’s degree or PhD in Computer Science, Artificial Intelligence, Electrical Engineering, Mathematics, or a related quantitative field, or equivalent industry research experience.
• At least 3 years of professional or post-graduate deep learning research experience, with a dedicated focus in at least one of computer vision, speech/audio processing, or voice biometrics and identity authentication.
• Hands-on research experience in audio-visual deepfake detection, synthetic media identification, or multimodal biometric verification.
• Strong Python programming proficiency and demonstrated ability to build, maintain, and structure reproducible research tools, experimentation frameworks, or evaluation workflows.
• Hands-on mastery of modern machine learning frameworks such as PyTorch, TensorFlow, or Keras.
• A record of successful, timely project delivery and translating research findings into practical improvements, supported by peer-reviewed publications or patent contributions.
• Ability to conduct rigorous experimental iterations, make data-grounded technical decisions, and communicate complex AI/ML and biometric concepts clearly.
• Awareness of bias, drift, and operational deployment constraints when designing, training, and evaluating machine learning models.

Nice To Haves

• Functional programming experience in C/C++, or familiarity with model optimization and deployment tools such as ONNX, TensorRT, TF-Lite, or Go.
• Practical experience with real-time streaming video or audio processing pipelines and large-scale synthetic data generation or augmentation.
• Experience competing in or using benchmarks from challenges such as DFDC, ASVspoof, NIST SRE/FRVT, or Kaggle.
• Familiarity with natural language processing, foundational multimodal architectures, or sequence modeling applied to authentication and spoofing detection.

Responsibilities

• Conduct research to develop new capabilities and improve existing technologies for synthetic media detection, multimodal audio and video deepfake identification, and real-time identity authentication.
• Design, implement, and evaluate deep learning algorithms for audio-visual deepfake detection, speech synthesis detection, facial manipulation analysis, and biometric authentication.
• Design, develop, and maintain internal research packages and pipelines for training, evaluating, and benchmarking machine learning models, ensuring computational efficiency and reproducibility.
• Partner with research engineers and engineering teams to transition research prototypes into efficient, scalable, production-ready systems across cloud and edge platforms.
• Analyze model behavior, edge cases, attack vectors, and detection gaps, and use findings to make measurable improvements to model robustness.
• Participate in code reviews, research reviews, and cross-functional project syncs.
• Contribute to patents and peer-reviewed papers for leading computer vision, speech, audio, and machine learning conferences.
• Take ownership of assigned research projects and workstreams, communicate progress transparently, and maintain technical integrity and documentation.

Benefits

• Competitive compensation package, including RSUs for all employees.
• Remote-first work environment with flexibility and autonomy.
• Unlimited Paid Time Off.
• Health and welfare plans, including one employer-paid employee-only plan.
• Employer contribution to a Health Savings Account.
• Vision and dental plans for employees and their families.
• Paid parental leave for birth, adoptive, and foster parents.
• One year of diaper delivery for a new child.
• Recurring monthly phone and internet allowance.
• Enhanced fertility and GLP-1 benefits.
• Annual Learning & Development stipend for professional growth, skill-building, certifications, and continued education.