We are looking to strengthen our team for a MLE (Speech Tech, ASR)!
Requirements
- 3+ years of hands-on experience in speech recognition or a closely related field.
- Proficiency in Python and deep learning frameworks (especially, PyTorch).
- Strong understanding of the state-of-the-art automatic speech recognition techniques and models.
- Experience with Streaming ASR Models: (e.g., Conformer).
- Strong understanding of recognition improving techniques such as beamsearch and language modeling.
- Familiarity with ASR evaluation techniques.
- Knowledge of signal processing, statistical modeling, and language structure.
Nice to have:
- MLOps experience, including MLFlow or similar experiment tracking systems.
- Familiarity with low-latency audio streaming and optimization techniques for deploying efficient real-time processing systems.
- Hands-on experience with Triton Inference Server and TensorRT for production model deployment.
- Proficiency in building ML backends and deploying APIs.
Responsibilities
- Design and optimize ASR models to ensure that we recognize client’s speech as accurate as possible.
- Collaborate closely with product managers and engineers to integrate ASR tech, making it seamless and intuitive for users.
- Partner with data teams to build efficient audio data pipelines, from preprocessing to model training.
- Regularly update and refine ASR models to adapt to various domains and dialects, enhancing user satisfaction and responsiveness.
- Keep up-to-date with the latest ASR advancements, bringing in innovative techniques and tools to keep us at the forefront of voice-assisted banking.
- Rigorously test and validate models to meet strict standards.
What we offer
- The team has built award-winning AI products for tech corporations devices, voice assistants, products that are actually in the world
- Cutting-edge tech stack: Speech Technologies, NLP, Generative AI (LLMs, diffusion models), voice-first agentic architecture with privacy-first and on-premises deployment
- High engineering bar and real ownership the team cares about what actually works in production, not what looks good in a demo, and you'll see the impact of your work directly
- Fast career progression a senior-heavy team and a high volume of real problems means you grow faster than you would anywhere else
- Startup pace with enterprise stability real clients, real revenue, no bureaucracy
- Fully remote across Europe
- 21 vacation days + public holidays + 5 sick days
- Private English lessons via Preply
- Company-paid subscriptions to top AI tools (ChatGPT, Claude, Cursor, and others)