Machine Learning Engineer ( ASR)

Description 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)