Applied ML Research Engineer — Ship Fast to Production

Deepgram; San Francisco, New York (CA, NY); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Deepgram, based in San Francisco, is seeking a research-focused ML engineer to advance speech-to-text and voice capabilities in production.

You will design experiments, fine-tune models, curate data, and build end-to-end systems that scale for customers worldwide. Strong Python and PyTorch skills, track record shipping ML to production, and comfort with fast-paced AI-first work are essential.

Qualifications

• Hands-on experience building and evaluating ML models for production.
• Strong programming and scripting skills with a track record of shipping ML to production.
• Experience with speech-related models (STT or TTS) is a plus.

Responsibilities

• Design experiments and benchmarks to improve model accuracy and latency.
• Curate datasets, train, validate, and iterate on models to production readiness.
• Build end-to-end ML systems and coordinate with infra for deployment and monitoring.

Skills

Python

PyTorch

Model fine-tuning

Data curation

Production ML

Speech-to-text

Distributed training

Job description

Deepgram, based in San Francisco, is seeking a research-focused ML engineer to advance speech-to-text and voice capabilities in production.

You will design experiments, fine-tune models, curate data, and build end-to-end systems that scale for customers worldwide. Strong Python and PyTorch skills, track record shipping ML to production, and comfort with fast-paced AI-first work are essential.