Machine Learning Engineer – ASR

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🔥 0 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Aiphoria

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2022

💼 Consulting

📦 Logistics

📣 Marketing

💰 $34M Series A - Aiphoria on 2025-07

Consulting • Logistics • Marketing

Aiphoria is a provider of AI-driven virtual employees and a proprietary platform that automates multi-channel customer-facing and back-office tasks. Its Aiphoria Pros are multilingual, multi-modal agents (voice, chat, email, calls) that handle support, sales, collections, legal, HR and marketing workflows for enterprise customers in industries such as banking, telecom and e‑commerce. The company offers cloud and on‑prem deployments, analytics and open-architecture integrations to reduce human labor, improve response times and boost customer satisfaction.

📋 Description

• Design and optimize ASR models to recognize client speech as accurately as possible • Collaborate with product managers and engineers to integrate ASR technology into seamless, intuitive user experiences • Partner with data teams to build efficient audio data pipelines from preprocessing through model training • Regularly update and refine ASR models for different domains and dialects • Keep up to date with the latest ASR advancements and introduce innovative techniques and tools for voice-assisted banking • Rigorously test and validate models against strict standards

🎯 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 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 beam search and language modeling • Familiarity with ASR evaluation techniques • Knowledge of signal processing, statistical modeling, and language structure • MLOps experience, including MLFlow or similar experiment tracking systems (nice to have) • Familiarity with low-latency audio streaming and optimization techniques for deploying efficient real-time processing systems (nice to have) • Hands-on experience with Triton Inference Server and TensorRT for production model deployment (nice to have) • Proficiency in building ML backends and deploying APIs (nice to have)

🏖️ Benefits

• Award-winning AI products for tech corporations’ devices, voice assistants, and products in the world • Cutting-edge tech stack including Speech Technologies, NLP, Generative AI (LLMs, diffusion models), voice-first agentic architecture, and privacy-first on-premises deployment • High engineering bar and real ownership • Fast career progression • Startup pace with enterprise stability • 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)