MLE ( ASR)

Posted 2 Days Ago
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Hiring Remotely in Spain
Remote
Mid level
Artificial Intelligence • Information Technology • Cybersecurity
The Role
Design, optimize, and validate ASR models (including streaming Conformer-type models). Integrate ASR into products, build audio data pipelines with data teams, refine models for domains and dialects, and stay current on ASR advancements to improve accuracy and low-latency production performance.
Summary Generated by Built In
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)

Skills Required

  • 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.
  • MLOps experience, including MLFlow or similar experiment tracking systems.
  • Familiarity with low-latency audio streaming and optimization techniques for efficient real-time processing.
  • Hands-on experience with Triton Inference Server and TensorRT for production model deployment.
  • Proficiency in building ML backends and deploying APIs.

Acclaim AI Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Acclaim AI and has not been reviewed or approved by Acclaim AI.

  • Parental & Family Support Parental leave is explicitly listed on the company’s Wellfound profile. Feedback suggests family support is part of the baseline perks communicated publicly.
  • Leave & Time Off Breadth Generous vacation is highlighted on Wellfound. This points to broader time-off flexibility typical of startup-style packages.
  • Wellbeing & Lifestyle Benefits Professional development and company events are called out on Wellfound. These signals indicate investment in growth and team connection beyond core benefits.

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The Company
69 Employees

What We Do

Acclaim is a voice-first AI customer experience (CX) platform purpose-built for regulated industries including banking, fintech, healthcare, and insurance. It provides enterprises with goal-oriented AI agents that go beyond conversation to deliver agentic solutions that solve end-to-end business problems—orchestrating and executing complete customer workflows from outreach through resolution. Acclaim's solutions transform human-driven CX processes into AI-powered ones that are continuously learning and improving. Our platform helps organizations delight with human-quality conversations, accelerate revenue-driving interactions, and safeguard their data by maintaining strict compliance across every customer channel—creating more seamless customer experiences while improving the productivity and satisfaction of human agents. Built on a privacy-first architecture with on-premises or private cloud deployment, Acclaim ensures every interaction is secure, compliant, and delivers results that speak for themselves.

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