Data Scientist

About Us

Hear.ai is an innovative early-stage startup dedicated to shaping the future of conversational intelligence. We are passionate about AI, technology, and addressing real-world challenges. We uphold high safety standards for our products and foster a collaborative environment with exceptional people. Our office is well-situated and designed to inspire creativity and teamwork.

About the Role

We are seeking a Data Scientist specialized in AI and to lead experimental initiatives and optimize audio processing and generation (TTS) , language learning models (LLMs). This role is ideal for someone with a strong statistical background and experience in model experimentation, keen to explore new approaches and refine existing methodologies in AI.

Responsibilities

• Design and implement experiments to test and optimize AI systems,
• Experiment with LLMs to enhance their capabilities
• Analyze and interpret complex data sets related to audio processing & text 
• Contribute to and utilize open-source projects and tools, advancing the state of TTS and LLM technologies.
• Collaborate with cross-functional teams to integrate innovations and enhancements into product offerings.
• Maintain up-to-date knowledge of the latest research and trends in machine learning, deep learning, and related fields.
• Document and share findings and methodologies to foster a culture of knowledge sharing and continuous learning within the team.

Requirements

• 4+ years of professional experience as a data scientist, with a strong background in machine learning and NLP.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field, with a significant focus on machine learning.
• Proven experience in designing and executing model-based experiments
• Strong understanding of machine learning, deep learning, and natural language processing (NLP).
• Expertise in statistical analysis and data visualization.
• Proficiency in programming languages such as Python, R, or similar.
• Knowledge of cloud infrastructure AWS/GCP

Preferred Qualifications

• Familiar and worked with HuggingFace
• Fined-tuned models
• Contributions to relevant open-source projects in AI domains.