machine learning engineer

SpeechTech develops award-winning AI products, including voice assistants and voice-first agentic architectures, with a focus on privacy-first and on-premises deployment for tech corporations.

• Design and optimize ASR models to ensure high accuracy in speech recognition;
• Collaborate with product managers and engineers to integrate ASR technology;
• Partner with data teams to build efficient audio data pipelines;
• Update and refine ASR models to adapt to various domains and dialects;
• Research and implement the latest ASR advancements;
• Test and validate models to meet strict standards.

• 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 state-of-the-art automatic speech recognition techniques and models;
• Experience with streaming ASR models such as Conformer;
• Strong understanding of recognition improving techniques like 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, familiarity with low-latency audio streaming and optimization techniques, hands-on experience with Triton Inference Server and TensorRT, proficiency in building ML backends and deploying APIs.

• 21 Vacation days plus public holidays and 5 sick days;
• Private English lessons via Preply;
• Company-paid subscriptions to top AI tools such as ChatGPT, Claude, and Cursor.