Senior Software Engineer - Audio AI Research (m/f/d)@audEERING GmbH

Senior AI Researcher – Audio AI Research (m/f/d)

Join to apply for the Senior AI Researcher – Audio AI Research (m/f/d) role at Agile Robots SE

Senior AI Researcher – Audio AI Research (m/f/d)

Join to apply for the Senior AI Researcher – Audio AI Research (m/f/d) role at Agile Robots SE

Agile Robots SE has acquired a majority stake in audEERING GmbH in 2025. This vacancy is to be filled at audEERING GmbH, either in Munich or in Berlin.

We\’re seeking a highly motivated and talented Senior AI Researcher (m/f/d) for the Audio AI Research team to drive the development and innovation of speech and language technologies, including analysis, understanding and synthesis of speech and audio.

As a researcher in our team, you can build the future of intelligent interactions via natural language technologies while expanding your own expertise.

Your Responsibilities

• Design, implement or extend cutting-edge audio codecs and DSP algorithms
• Train and evaluate state-of-the-art AI and machine learning models including large language models with architectures such as Transformers, CNN, (Bi-)/x-LSTM in frameworks such as PyTorch
• Contribute to and work with tools and infrastructure for efficient evaluation and benchmarking for AI models
• Create, collect, and curate high-quality and large-scale data sets for AI training and evaluation in collaboration with the data team
• Present research findings in internal research workshops and machine learning seminars, and represent the research team and company at top-tier conferences, as well as network with the research community
• Min. 2 years of direct experience (in academia or industry) working in one or more of the following areas:
• Experience with audio, speech or language processing technology, such as digital signal processing, acoustic feature extraction, audio codecs and vocoders, automatic speech recognition, speech dialogue systems, or speech synthesis
• Experience with generative AI models, such as diffusion models, large language models, or generative adversarial networks
• Deep understanding of machine learning and artificial intelligence, including training algorithms, evaluation and statistics especially for textless speech models, transformers and other (recurrent) neural network architectures
• Strong proficiency in Python and PyTorch (or closely related frameworks), with extensive experience in implementing and optimizing machine learning workloads
• Ability to work in a fast-evolving field, dynamic work environment and to deliver on time
• Excellent team player, problem solver and goal achiever

Beneficial Skills

• PhD in Computer Science or related field
• First-author publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, Interspeech or ICASSP), publications in top-tier journals in the field, or patents
• Familiarity with MLOps practices and tools
• Experience in building low-latency conversational AI systems
• Experience in deploying large-scale speech AI systems and/or cloud services for audio processing
• Experience with distributed, parallel training on large-scale computing clusters
• Contributions to open-source single or multi-modal LLM projects
• Extensive experience with audio and speech generation (synthesis) and transformation (voice conversion, translation, etc.).
• Experience in psychology or linguistics
• Experience with reinforcement learning
• Experience with multi-modal language models such as audio and vision language models

What we offer

• A dynamic, highly qualified and diverse team in which your contributions are reflected directly in our products and used by our international customer base
• Flat hierarchies and short decision-making processes
• Exciting and varying tasks for our product portfolio
• Excellent working environment, modern office space and flexible working hours with the option of mobile working
• Close connection to academic research (EU and national projects) and a highly innovative company
• Team and company events
• Free drinks, coffee, tea & fruit and snacks

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research and Engineering

• Industries

  Software Development and Robotics Engineering

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