Computer scientist - AI (m/f/d)

Your Responsibilities

• Define and drive the research strategy in alignment with company strategy and business goals, setting ambitious yet achievable milestones to lead the team’s pioneering efforts in speech AI and voice interaction.
• Set and elevate research and engineering standards through hands-on technical work, directly contributing to the development of our codebase and running key experiments.
• Mentor and guide a team of researchers at various levels to explore new approaches, understand and question existing state-of-the-art methods, and pursue innovative solutions beyond conventional paths.
• Manage scientific dissemination, invention disclosure, protection of intellectual property, and academic publications in accordance with company strategy.
• Support the management team in identifying and translating research opportunities into product innovations.

• Proven experience leading research or engineering teams on high-impact, long-term projects - from defining the research scope and roadmap to execution and delivering results on time via product demonstrations, scientific reports or publications
• 5+ years post-PhD hands-on experience in machine learning research as an individual contributor, which led first author publications at top-tier conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, Interspeech and ICASSP)
• 1+ year of experience working with cross-functional product and business team
• PhD in Computer Science, Electrical Engineering, Artificial Intelligence, or related field
• Empathy and a humble, curious mindset with deep respect for collaboration and diverse expertise; excellent team player, problem solver and goal achiever
• Excellent communication skills, capable of articulating complex technical concepts to diverse audiences, from junior researchers to C-level non-technical stakeholders
• Ability to work in a fast-evolving field, dynamic work environment and to deliver on time
• 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
• Experience in developing large-scale multimodal language models or conversational speech systems
• Experience in distributed, parallel training on large-scale computing clusters, e.g. with major cloud computing providers such as AWS, Azure, Google Cloud, or Oracle

• 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