Machine Learning Engineer
Location
Europe
Posted
1 day ago
Salary
0
Seniority
Mid Level
Job Description
Machine Learning Engineer
Acclaim
Role Description We are looking to strengthen our team for a MLE (Speech Tech, ASR)! Qualifications - 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. Requirements - 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. Benefits - 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).
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