Speech AI
Research Engineer.
STT & TTSSpeech-to-Text & Text-to-Speech
- LOCATION
- Fully Remote
- EMPLOYMENT
- Part-Time / Full-Time
- WHO CAN APPLY
- University Students Welcome
- RESOURCES
- GPU & Cloud Research Resources
About Volina
At Volina we’re building the AI infrastructure for the future of health tourism. Our multilingual AI voice agents help healthcare providers manage patient conversations, automate communication, and create more personalized experiences at scale. With active customers and more than 40,000 calls completed, we’re now building our own cloud-based Speech AI infrastructure: accurate speech recognition and natural, human-like speech synthesis, with a particular focus on Turkish and real-time conversational AI. We’re looking for a curious, hands-on engineer who enjoys exploring new architectures and turning research into real-world technology.
What you’ll work on
Speech Recognition
STT- Research, benchmark, fine-tune, and improve speech recognition models.
- Improve Turkish recognition across accents, speaking styles, and real-world telephone audio.
- Prepare and evaluate conversational speech datasets.
Speech Synthesis
TTS- Explore and fine-tune neural TTS models for natural, expressive Turkish voices.
- Improve pronunciation, prosody, emotional expressiveness, and real-time generation.
Cloud Infrastructure & Deployment
INFRA- Help architect GPU-powered, cloud-native speech services and streaming inference pipelines.
- Measure and improve latency, reliability, scalability, and inference cost.
Research & Experimentation
RESEARCH- Follow emerging Speech AI research, evaluate open-source models, and reproduce promising findings.
- Design measurable experiments and bring successful results into production with our engineering team.
What we’re looking for
- 01Strong Python skills and an understanding of machine learning and deep learning fundamentals.
- 02Experience with, or strong interest in, PyTorch, Hugging Face, and model fine-tuning workflows.
- 03Ability to research technical problems independently, run experiments, and document findings.
- 04Genuine curiosity about speech technologies, generative AI, and model architectures.
- 05A collaborative mindset and willingness to take ownership of challenging problems.
NICE TO HAVE
- Hands-on experience with Whisper, wav2vec 2.0, NVIDIA NeMo, or neural TTS models.
- Experience with audio preprocessing, speech datasets, and quality evaluation.
- Knowledge of Linux, Docker, cloud platforms, GPU computing, or streaming audio systems.
- Personal ML projects, open-source contributions, or research experience.
What we offer
- 01
Real research resources. Dedicated GPU computing resources and an allocated cloud budget for training, fine-tuning, and experimentation.
- 02
Technical ownership. Help shape Volina’s speech infrastructure and contribute to architectural decisions.
- 03
Freedom to explore. Test new approaches and turn promising experiments into measurable product improvements.
- 04
Direct product impact. See your work improve real conversations in a live product used by customers.
- 05
Equity. A stake in the company you help build.
- 06
Remote flexibility. Work fully remotely, with part-time and full-time opportunities.
- 07
Team events & offsites. Regular team events and offsites that bring the team together.
- 08
Room to grow. Learn across applied research, model development, cloud infrastructure, and production AI systems.
Who should apply?
We care more about how you think, what you have built, and your curiosity than your university, degree, or years of experience.
You don’t need to be an expert in everything listed here. Strong foundations in one area and the motivation to explore others matter more than checking every box.
- University students
- Recent graduates
- Self-taught developers
- Experienced engineers
Help us build the next generation of human-like AI conversations.
volina.ai1Apply on this page
Fill in the form below. It comes straight to the team.
2Share your work
Your CV, GitHub, Hugging Face profile, or a technical project you’re proud of.
3Tell us what you explored
We’d especially love to hear about an ML experiment, a model you’ve fine-tuned, or a research problem you’ve explored.
Apply for this role
We read every application ourselves.
Speech AI Research EngineerSTT & TTS · Fully remote