Skip to content

Audio ML Engineer II

Build, tune, and deploy state-of-the-art audio deepfake detection models. Requires Master's/PhD and 3+ years experience with ML/DL frameworks and audio processing.

160k – 210kNew York, NYML EngineeringRemote3+ YOE

About the role

Responsibilities

  • Tune and optimize ML/DL models for production-scale audio deepfake detection
  • Investigate failure cases in the client environment, build custom evaluation frameworks, and implement mitigation strategies for model robustness
  • Drive model iteration for performance under a variety of real-world environments, e.g. compression artifacts, noise, telephony, and streaming pipelines
  • Present technical findings and model performance insights to internal stakeholders
  • Interface with Product and Engineering teams to build a deep understanding of the production environment and incorporate relevant evaluations for performance assessment

Requirements

  • Master’s or PhD in Computer Science, Machine Learning, Signal Processing, or related field
  • Fresh PhD graduate, or Masters with 3+ 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
  • Experience with large-scale training and benchmarking pipelines, either in an academic or an industry research role

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

Skills

PythonPyTorchJAXMachine LearningDeep LearningAudio ProcessingSignal ProcessingModel TrainingModel EvaluationBenchmarking

Similar roles

ML Engineering jobs

Research Scientist II

Research Scientist II building and improving fraud risk models and scam detection systems using audio, behavioral, and metadata signals. Requires an advanced degree and 3+ years of applied ML experience with Python and modern ML frameworks.

160k – 185kUnited StatesML EngineeringRemote3+ YOELLMsKeras

Applied Data Scientist / Machine Learning Engineer

Build and ship ML models (forecasting, recommendation, ranking, optimization) into customer-facing SaaS products. Own end-to-end pipelines from experimentation through production deployment, monitoring, and iteration.

160k – 170kUnited StatesML EngineeringRemote5+ YOESQLdbt

AI Engineer - Database Engineering

As an AI Engineer, you will own the full AI engineering lifecycle, from design to optimization, for Snowflake Database Engineering products. You will build agentic workflows, coding harnesses, and evaluation pipelines, working with a high-powered engineering team.

160k – 230kMenlo Park, CAML EngineeringOn-site5+ YOEGodbt

Software Engineer, Cortex AI Infrastructure

Build and scale backend infrastructure powering agentic AI products including orchestration engines, RAG systems, evals infrastructure, and production AI workflows. Requires 4+ years distributed systems experience and deep Python plus Go/Java proficiency.

160k – 225kMenlo Park, CAML EngineeringOn-site4+ YOEGoRAG

Research Engineer – Evals

Builds evaluation systems to measure Firecrawl's web data extraction quality across diverse websites and workflows. Designs metrics, pipelines, benchmarks, and LLM judges; integrates into CI/CD and model training loops. Requires 3+ years in ML engineering or data quality with production systems.

160k – 240kSan Francisco, CAML EngineeringHybrid3+ YOERLHFCI/CD