ML Engineer

Who we are?

We are developing AI Dubbing — a technology for automating dubbing with AI. Our main product is a professional tool for localization studios, already used by major industry players. 😎

Our global goal is to create an AI-powered dubbing solution that delivers a natural and enjoyable listening experience. We have deep expertise in speech synthesis and our own state-of-the-art voice cloning technology. Unlike companies that focus solely on cloning, we specialize in dubbing, tackling challenges such as emotion transfer and control, high-expressivity and naturalness dubbing.

Our automatic dubbing technology is among the most advanced on the market — designed to produce high-quality, natural-sounding speech while maintaining the original speaker’s intent and emotions. It can be tested through our self-service platform app.dubformer.ai or integrated via API.

We have worked with leading brands such as NBC Universal, BBC, Paramount, and Euronews, bringing our expertise to high-profile projects that demand the highest quality.

📍 Location: Europe (EU, UK, Serbia)
💶 Compensation: €6K – €9K monthly + stock options
🚀 We closed seed round for $3.6M, let’s keep pushing!
💰 Joining us now means getting in early – an opportunity to grow with the company and potentially turn your equity into a life-changing reward.

📩 Mail to our CTO: sergey@dubformer.ai

The role

Join a team of top-tier ML engineers developing the next-generation technology that will redefine how movies and TV shows are dubbed. We’re looking for an experienced ML engineer with a strong background in generative models, capable of pushing the boundaries of speech synthesis and AI-driven localization.

What you’ll be doing

• Optimizing the dubbing pipeline — from ASR to speech synthesis and mixing — by integrating, fine-tuning, and innovating on state-of-the-art generative models
• Advancing our in-house voice cloning technology to enhance expressiveness, speaker fidelity, and adaptation for dubbing
• Building scalable data pipelines for preprocessing, annotation, and training, ensuring a robust ML workflow
• Defining and automating evaluation metrics for model quality, ensuring real-world improvements are measurable and impactful

What we’re looking for

• 3+ years of experience with generative ML models (NLP, Vision, or Speech), deployed in production and delivering real business impact
• Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and training large-scale models
• Track record of impactful projects in speech synthesis, ASR, voice conversion, or a related field

Why join us?

• Cutting-edge challenges: Work at the frontier of generative AI for speech
• High-impact work: Your models will be used in production to localize content at scale
• Top-tier team: Collaborate with ML experts from Yandex, Google, and other leading companies