Senior Machine Learning Research Engineer

About This Role

As a ML Research Engineer at David AI you will build cutting‑edge speech and audio models, production inference systems, and resilient pipelines that showcase the impact of high‑quality data.

• Research, design, and implement solutions using advanced signal‑processing algorithms and cutting‑edge machine‑learning models applied to speech and audio.
• Develop production‑grade inference algorithms, pipelines, and APIs with cross‑functional teams to unlock key insights into our data for customers.
• Collaborate with the Operations team to gather useful training and evaluation datasets to improve model quality.
• Architect systems that enable resilient and durable inference and evaluation workflows.

• 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 and ideas into high‑quality, production‑ready code.
• Experience deploying ML systems for production inference with cloud technologies.
• Track record of setting ML roadmaps, influencing technical direction, and prioritizing research and infrastructure investments.
• Ability to assess model quality in the context of user experience and business value.

• PhD or Master’s in Computer Science or a related field.
• Experience training large neural network models in academic or industry settings.
• Expertise in audio signal processing, both classical and machine‑learning techniques.
• Experience publishing in top conferences such as NeurIPS, ICML, ICLR, CVPR, etc.

• Unlimited PTO.
• Top‑notch health, dental, and vision coverage with 100% coverage for most plans.
• FSA & HSA access.
• 401(k) access.
• Meals twice daily through Door Dash and snacks and beverages available at the office.
• Unlimited company‑sponsored Barry’s classes.

Compensation Range: $190K – $260K