Research Engineer (AI)

TL;DR

Research Engineer (AI): Building and managing scalable machine learning systems to accelerate the training lifecycle of speech-to-text and text-to-speech models with an accent on distributed infrastructure, data engineering, and internal tooling. Focus on architecting high-throughput training pipelines, automating evaluation workflows, and bridging the gap between novel research prototypes and production-grade voice AI systems.

Location: Remote (USA); also operating in Ann Arbor, MI and San Francisco, CA.

Salary: $150,000–$250,000

Company

hirify.global is a leading voice AI platform providing real-time speech-to-text and text-to-speech APIs, processing over a trillion words to power advanced voice agent technologies for over 1,300 organizations.

What you will do

• Architect and maintain horizontally scalable systems to accelerate the end-to-end model training lifecycle for STT and TTS.
• Design internal tools and UIs to make complex ML workflows accessible to non-technical stakeholders.
• Manage job orchestration, experiment tracking, and data storage for high-throughput training pipelines.
• Collaborate with research scientists to prototype, validate, and scale novel speech modeling ideas.
• Implement automated evaluation tooling to support rapid model development and iteration.

Requirements

• Strong experience with machine learning research pipelines, specifically in STT or speech domains.
• Proven proficiency with orchestration and infrastructure tools including Kubernetes, Docker, and Prefect.
• Hands-on experience with ML lifecycle tools such as MLflow.
• Experience in data engineering practices for unstructured audio and text data.
• Ability to build intuitive internal tools and dashboards for non-technical users.
• Comfortable working in cross-functional teams involving research and product stakeholders.

Culture & Benefits

• Medical, dental, and vision insurance with mental health support.
• 401(k) plan with company match.
• Unlimited PTO and flexible schedule with 12 paid US holidays.
• Generous paid parental leave.
• Stipends for home office upgrades, wellness, and personal productivity.
• Continuous learning via education stipends and AI enablement workshops.