Design, build, and optimize ML/DL models for production-scale audio deepfake detection.
Interface with clients to build a deep understanding of the production environment and scope out model performance criteria.
Investigate failure cases in the client environment, build custom evaluation frameworks, and implement mitigation strategies that span across Engineering and AI.
Drive model tuning and iteration for performance under a variety of real-world environments, e.g. compression artifacts, noise, telephony, and streaming pipelines.
Design and execute structured experimentation roadmaps, centered around client requirements, anticipated future attack vectors, and proactive system resilience.
Collaborate with cross-functional partners (Applied Scientists, Deployment Engineers, Product teams) to deploy robust and scalable models.
Present technical findings and model performance insights to clients as well as internal stakeholders.

Requirements

Master’s or PhD in Computer Science, Machine Learning, Signal Processing, or related field (or equivalent industry experience)
2+ years of industry experience building and deploying ML/DL models for AI products
Strong programming skills in Python and model ML frameworks (PyTorch, JAX)
Solid understanding of audio processing fundamentals, classification and detection metrics (ROC, DET curves, precision/recall trade-offs), model robustness and evaluation
Proven experience with large-scale training and benchmarking pipelines
Prior experience in a client-facing or solutions-oriented AI role is a plus.

Benefits

Healthcare plans with 100% premium coverage for employees and partial coverage available for dependents
Dental and Vision plans with 100% premium coverage for employees and their dependents
Short/Long-term disability and life insurance plans with 100% premium coverage for employees
FSA/HSA and 401k programs
Equity compensation
20 days of PTO per year
12 weeks of Parental Leave
Learning and Development budget
Monthly wellness benefits
Annual company-sponsored offsite

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdeep learningPythonPyTorchJAXaudio processingclassification metricsdetection metricsmodel robustnessbenchmarking

Soft Skills

client-facingcollaborationcommunicationproblem-solvingpresentation skills

Certifications

Master’s degreePhD