Mle ( Asr)

Acclaim

12h • Remote

About The Position

We are looking to strengthen our team for a MLE (Speech Tech, ASR)! The team has built award-winning AI products for tech corporations, devices, voice assistants, and products that are actually in the world. We utilize a cutting-edge tech stack including Speech Technologies, NLP, Generative AI (LLMs, diffusion models), and a voice-first agentic architecture with privacy-first and on-premises deployment. We have a high engineering bar and offer real ownership, focusing on what works in production. This role offers fast career progression due to a senior-heavy team and a high volume of real problems. We operate at a startup pace with enterprise stability, serving real clients and generating real revenue without bureaucracy.

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 Haves

• 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.

Benefits

• 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)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed