Principal Machine Learning Engineer
Posted 6ds ago
Employment Information
Report this job
Job expired or something wrong with this job?
Job Description
Principal Machine Learning Engineer developing and improving TTS and Voice Generation models at Acclaim. Collaborating across research, engineering, and product to drive technical direction and ML best practices.
Responsibilities:
- 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
Requirements:
- 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
Benefits:
- 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.
- 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.



















