Summary
✨ AI‑Generated
Join an advanced AI engineering team focused on real-time speech and audio technologies. You will take machine learning models from research to production, optimizing them for speed, reliability, memory, compute efficiency, and power consumption while collaborating with research and product engineering specialists.
Highlights
Work on advanced speech and audio AI, taking research models into reliable production systems while optimizing quality, latency, compute, memory, and power consumption. Collaborate closely with research and engineering teams on challenging real-time AI problems.
Description
About Hecttor
Saima Inc.
is a U.S.-based deep-tech Voice AI company developing Hecttor, a real-time voice intelligence platform designed to make human and AI voice communication clearer, more intelligible, and more reliable.
We develop proprietary technologies across speech enhancement, noise cancellation, speech reconstruction, and real-time audio processing.
Saima holds three granted U.S.
patents, with its core AI research and engineering team based in Yerevan, Armenia.
The Role
We are expanding our AI engineering team and looking for an exceptional Senior AI Engineer specializing in speech and audio technologies.
This role is focused on taking machine learning models from research into production and making them fast, efficient, reliable, and ready to run in real-world environments.
You will work closely with our researchers and product engineering teams to deploy and optimize models while balancing model quality, latency, compute, memory usage, and power consumption.
What You’ll Work On
• Bring speech and audio AI models from research into production.
• Optimize models for real-time performance across different devices and platforms.
• Improve inference speed, efficiency, and reliability.
• Build and improve model evaluation and benchmarking processes.
• Adapt models for production and device constraints.
• Work closely with researchers to translate new models into production systems.
• Help define best practices for production AI engineering.
What We’re Looking For
• Strong experience with Python and C/C++.
• Strong experience with modern ML frameworks such as PyTorch.
• Extensive experience building and deploying machine learning systems in production.
• Strong experience with model optimization, inference, and performance improvement.
• Experience working with real-time, mobile, embedded, or edge systems.
• Experience with model evaluation and benchmarking.
• Experience with speech, audio, signal processing, or other real-time AI applications is highly valued.
Location
We are open to exceptional candidates internationally.
The role can be remote, based with our core team in Yerevan, Armenia, or supported through relocation for the right candidate.
If you enjoy turning advanced AI models into fast, reliable production systems and working at the intersection of machine learning, systems engineering, and real-time performance, we would love to hear from you.
