Research Scientist
Applied AI | Bay Area | Hybrid | Full-time
As a Research Scientist you will help lead the development for our Speech Synthesis technology which is core to VoiceCare AI and our Generative AI Healthcare Agents. You will play a pivotal role in developing and advancing our state-of-the-art speech synthesis capabilities tailored specifically for the healthcare domain. Working alongside a dedicated and talented team, you will lead efforts to tackle challenging problems in generative speech synthesis, text-to-speech, accent modeling, and voice conversions. This position offers an exciting opportunity to contribute to groundbreaking research and shape the future of AI-driven healthcare.
Required Qualifications
- Ph.D. or Postdoctoral researcher in audio synthesis, speech processing, or a related field, with a strong academic background in healthcare applications preferred.
- 3+ years of experience in audio synthesis techniques, including TTS, SST, or voice conversion methods, with a track record of successful research projects.
- Demonstrable research experience with a strong publication record in major Speech Synthesis and Speech Processing venues such as ICASSP, Interspeech, or NeurIPS.
- Hands-on experience in Python, PyTorch, or TensorFlow.
- Familiarity with compute platforms such AWS for scalable model development and deployment.
- Experience in audio identity embedding, accent modeling, style-transfer, and multi-language audio synthesis within the context of healthcare applications.
- Knowledge of attention mechanisms, diffusion models, and advanced speech signal processing techniques.
At Voicecare, you will:
- Research Scientists translate customer needs into tangible outcomes
- In this crucial role, you will propel forward innovative research and development
Key Responsibilities:
- Design, develop, and maintain backend infrastructure
- Collaborate with data scientists and machine learning engineers to design and implement scalable data pipelines
- Build and maintain APIs and microservices that enable efficient and reliable data retrieval and processing
- Develop and implement robust data security and privacy measures to protect sensitive patient information
- Monitor and optimize the performance of backend systems to ensure maximum efficiency and uptime
- Work closely with product managers to understand customer needs and requirements and translate them into technical solutions
- Mentor and provide technical guidance to junior engineers
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field
- At least 5 years of professional experience in backend development
- Strong proficiency in one or more programming languages such as Python, Java, or Scala
- Expertise in vector database technology and designing retrieval systems for high-performance machine learning applications
- Knowledge of data modeling, database design, and SQL
- Experience with cloud computing platforms such as AWS, GCP, or Azure
- Familiarity with DevOps principles and tools such as Docker, Kubernetes, and CI/CD pipelines
- Strong problem-solving skills and ability to work independently and collaboratively in a team environment
- Experience with technologies such as Langchain is a plus
- Excellent communication and interpersonal skills