Research Engineer

About This Role

As a Research Engineer at David AI, you'll build algorithms and systems that turn large-scale speech and audio collections into high-quality datasets. You'll tackle questions like: What makes a recording useful? How do we measure and improve dataset quality?

In This Role, You Will

• Design algorithms and metrics using advanced signal processing algorithms and cutting edge ML models with to derive insights from thousands of hours of audio data.
• Build scalable data processing pipelines for analyzing, filtering, deduplicating, and curating large speech and audio datasets.
• Develop production-grade inference algorithms, pipelines, and APIs with cross-functional teams that unlock key insights into our data for our customers.
• Collaborating with our Operations team to gather useful training and evaluation datasets to improve the quality of our models.
• Architect systems that enable resilient, durable inference and evaluations.

Your Background Looks Like

• 3+ years of professional engineering or applied research experience in areas such as data systems, algorithms, applied ML, information retrieval, or speech and audio.
• Strong Python skills and experience building maintainable, production-quality software.
• End-to-end ownership of ML pipelines, from proof-of-concept to production deployment.
• Ability to translate research papers and ideas into high-quality, production-ready code.
• Experience deploying ML systems for production inference with cloud technologies.
• Ability to assess model quality in the context of user experience and business value.

Bonus Points If You Have

• Experience with speech, audio, or digital signal processing.
• Experience with data curation, search and retrieval, embeddings, clustering, deduplication, or sampling.
• Experience building model inference systems or integrating pretrained models into production workflows.
• Experience in publishing in top conferences such as NeurIPS, ICML, ICLR, CVPR, etc.
• Experience in releasing, maintaining, contributing to open-source softwares.
• PhD or Masters in Computer Science or a related field.

Benefits

• Unlimited PTO.
• Top-notch health, dental, and vision coverage with 100% coverage for most plans.
• FSA & HSA access.
• 401k access.
• Meals 2x daily through DoorDash + snacks and beverages available at the office.
• Unlimited company-sponsored Barry’s classes.