# Senior Machine Learning Research Engineer

**Company:** [David AI](https://hotfix.jobs/companies/david-ai)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Salary:** $190k – $260k/yr
**Experience:** 5+ years
**Skills:** Python, PyTorch, Machine Learning, Deep Learning, Signal Processing, Audio Ml, Dsp, Model Deployment, Cloud Technologies, Ml Pipelines
**Posted:** 2026-05-15

> Build cutting-edge speech and audio ML models, production inference systems, and resilient pipelines. Own full ML lifecycle from research to deployment on terabytes of audio data.

## Job Description

## Responsibilities
- Research, design, and implement solutions using advanced signal processing algorithms and cutting-edge ML models for speech and audio
- Develop production-grade inference algorithms, pipelines, and APIs with cross-functional teams
- Collaborate with Operations team to gather training and evaluation datasets to improve model quality
- Architect systems for resilient, durable inference and evaluations

## Requirements
- 5+ years of professional audio ML experience, including DSP and ML audio algorithm development
- End-to-end ownership of ML pipelines from proof-of-concept to production deployment
- Strong coding skills in Python and proficiency with deep learning frameworks such as PyTorch
- Ability to translate research papers into high-quality, production-ready code
- Experience deploying ML systems for production inference with cloud technologies
- Track record of setting ML roadmaps and influencing technical direction
- Ability to assess model quality in the context of user experience and business value

## Nice-to-haves
- PhD or Masters in Computer Science or related field
- Experience training large neural network models
- Expertise in audio signal processing (classical and ML techniques)
- Publications in top conferences (NeurIPS, ICML, ICLR, CVPR, etc.)

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