Research Engineer (Applied Voice)

TL;DR

Research Engineer (Applied Voice): Design and build advanced speech machine learning models and transform research breakthroughs into real-world AI speech products with an accent on speech-to-speech, transcription, and text-to-speech technologies. Focus on designing scalable, production-ready models, collaborating cross-functionally, and leading engineering best practices.

Location: San Francisco, United States (onsite)

Salary: $295,000–$445,000 + equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity by pushing AI capabilities and deploying safe AI products.

What you will do

• Design and build state-of-the-art speech machine learning models and AI-driven applications.
• Collaborate closely with software engineers, product managers, and deployed engineers to solve complex business challenges.
• Implement scalable data pipelines and optimize models for performance and accuracy.
• Engage with latest ML and AI developments, participate in code reviews, and lead engineering practices.
• Monitor and maintain deployed models to ensure ongoing value delivery.

Requirements

• Location: Must be able to work onsite in San Francisco, United States
• Master's or PhD in Computer Science, Machine Learning, or related field.
• 2+ years professional engineering experience in relevant roles.
• Experience with deep learning, transformers, PyTorch or TensorFlow.
• Strong foundation in data structures, algorithms, and software engineering principles.
• Familiarity with training and fine-tuning large language models; speech model experience is a plus.

Culture & Benefits

• Work with leading AI researchers and engineers in a mission-driven environment.
• Equal opportunity employer with commitment to diversity and inclusion.
• Competitive compensation including salary and equity.
• Support for applicants with disabilities and reasonable accommodations.