Remote Principal Machine Learning Engineer

We are looking for a senior-level ML expert with deep experience in Speech AI, ideally focused on TTS / Voice Generation, to help build and scale production-grade speech systems. This is a highly hands-on role for someone who combines strong research capabilities with real-world production experience and can operate effectively in a fast-moving startup environment. 5+ years of experience in Speech AI, preferably TTS / Voice Generation TTS has been a primary focus in recent years Hands-on experience training and fine-tuning TTS models Proven experience deploying ML models into real production environments Strong understanding of inference, latency, scaling, monitoring, and reliability Strong ML background overall (ML Scientist / ML Engineer trajectory) Strong coding and engineering skills Develop and improve TTS / Voice Generation models Train, fine-tune, and evaluate speech models Bring research ideas into production systems Work across research, engineering, and product Help define technical direction and ML best practices Drive execution in a fast-changing environment Collaborate closely with engineering, product, and business stakeholders Experienced team, Acclaim is formed by a team of enthusiastic professionals who have created award-winning devices, voice assistants, and other AI-driven products for BigTech corporations Cutting-edge technologies , we build technologies using our areas of expertise, including Computer Vision, Speech Technologies, Natural Language Understanding, Generative AI, etc. LLM and Diffusion models Rapid career progression , facilitated by our team of seasoned senior professionals who hail from prestigious, industry-leading companies Remote work opportunities from Europe / US The company has prominent clients with an opportunity for you to work on different projects and/or to be involved in developing our proprietary products A company with entrepreneurial spirit. We offer a secure workspace, thanks to the big clients we've raised, along with a true start-up culture.