R&D Engineer (Native Arabic Speaker)
Location: Türkiye
Working Style: Remote
Overview
We are looking for an R&D Engineer based in Türkiye to join our Arabic Text-to-Speech (TTS) team. This role offers the opportunity to combine strong engineering and machine learning skills with native-level Arabic proficiency and contribute to the development of Arabic TTS technologies.
Who we are
We are a global technology company, developing AI-powered conversational solutions that empower organizations to be data-driven, enhance efficiency, and offer superior customer experiences. We are an R&D center and our solutions are developed by a team of over 100 engineers specializing in text-to-speech, speech recognition, natural language processing, and voice biometrics technologies. As of 2022 we are a part of Unifonic, a leading Communications Platform as a Service (CPaaS) provider, and we have grown into an international organization with over 500 dynamic team members. We have a customer base of 500 enterprises across 20 countries in the US, EU and MENA regions.
What we expect
- Develop, train, and test Arabic TTS models; contribute to model training pipelines and evaluations.
- Translate linguistic and dialect feedback (from linguists, customers, and internal reviews) into concrete technical improvements.
- Contribute to Arabic text normalization, diacritization (tashkeel), and grapheme-to-phoneme (G2P) components.
- Research new modules related to voice, text, and other data in company products, and implement them.
- Research and integrate third-party components required by our products; enable integration of company products with different platforms and provide support.
- Answer technical questions from assigned clients; implement enhancements and improvements in line with customer demand.
- Update and maintain installed programs at customer sites; strive to increase product performance.
- Implement coding and optimizations for product integrations; handle improvements and bug fixes within the R&D team.
- Collaborate closely with the Sestek and Unifonic teams and provide ongoing TTS expertise throughout the project.
- Document R&D studies.
Who we are looking for
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Approximately 3 years of experience in software development; experience in speech technologies (TTS/ASR), NLP, or machine learning is strongly preferred.
- Native proficiency in Arabic, with a strong command of Modern Standard Arabic (MSA).
- Familiarity with Saudi/Gulf Arabic varieties, particularly Najdi Arabic, is a nice to have. The ability to recognize and distinguish different Arabic dialects is also a plus.
- Good command of English; Turkish is a plus.
- Solid coding skills (e.g., Python) and familiarity with machine learning frameworks.
- Nice to have: broader engineering skills beyond R&D, including MLOps, data pipelines, Kubernetes, low-latency APIs, and Git/version control.
- Strong communication skills and the ability to work effectively with non-technical stakeholders, such as linguists and customers.
- Strong analytical and problem-solving skills, with a solution- and customer-oriented mindset.
At Sestek, we believe in the power of diversity, and inclusive organizational culture. All candidates are considered equally regardless of their race, religion, color, age, sex, sexual orientation, gender identity or expression, national or ethnic origin, marital status, family status, disability, or genetic characteristics.
As , we place great importance on protecting your personal data. Within the scope of our recruitment processe, you may access the Candidate Privacy Notice regarding the processing of your personal data via the links: English Version / Turkish Version
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