Voice AI Research Specialist
2 weeks ago
Genai Works is a pioneering AI organization dedicated to revolutionizing human-machine communication through natural language processing. We empower developers with access to an advanced voice AI platform, offering models for speech recognition, speech synthesis, and language comprehension through a simple API integration. From voice transcription to sentiment analysis, Genai Works is the preferred choice for innovators in voice AI applications.
The Opportunity
In a world where text-based communication is prevalent, voice remains the most intuitive way for humans to interact with technology. At Genai Works, you will have the exceptional chance to innovate and experiment, significantly influencing our products and AI capabilities. We prioritize tenacious problem-solving and adaptability, encouraging you to enhance your skills through hands-on experience. Our dynamic environment provides a remarkable growth trajectory, offering a level of ownership and direct engagement with end-users that larger research institutions cannot match. Join us in our mission to redefine voice technology.
The Role
Genai Works is seeking talented Research Scientists with proven expertise in tackling complex challenges using deep learning methodologies. You will leverage your skills to drive innovations that shape the future of voice-enabled applications. Your responsibilities will include utilizing extensive audio and text datasets to develop foundational models that extend beyond mere transcription and text comprehension. The models you create will interpret nuanced meanings in intricate conversations, adapt to diverse speech patterns, and generate empathetic, context-aware responses. Collaboration with product and engineering teams will be essential to deploy these models in the most scalable voice API available.
What You'll Do
- Design and implement experimental initiatives to create new speech and language AI foundation models that address critical customer challenges.
- Manage large-scale training processes on extensive distributed computing systems.
- Enhance model architectures for optimal speed and memory efficiency; facilitate the deployment of new models for large-scale applications.
- Clearly document and present findings and complex technical concepts for various audiences.
- Stay informed about the latest advancements in deep learning, focusing on their relevance and applications in our products.
You'll Love This Role If You
- Are enthusiastic about AI and keen on utilizing data to tackle complex issues.
- Enjoy building innovative systems from the ground up.
- Prefer a data-driven approach to problem-solving through iterative experimentation.
It's Important To Us That You Have
- A PhD in Physics, Electrical Engineering, Computer Science, or a related discipline.
- Experience in designing and executing experimental programs to understand complex phenomena, with the ability to adapt and iterate quickly.
- Demonstrated experience in building models from scratch, managing the entire deep learning pipeline including data curation, architecture design, large-scale training, and model optimization.
- Strong communication skills, capable of simplifying complex concepts for diverse audiences.
- Proficient software engineering skills, particularly in developing clean, modular code using Python and Pytorch.
It Would Be Great if You Had
- Industry experience in developing deep learning models for complex problem-solving, with a solid grasp of various neural network types and architectures.
- In-depth knowledge and experience with state-of-the-art network architectures, including transformers.
- Understanding of different parallelism strategies for efficient distributed training.
Supported by leading investors, Genai Works is committed to advancing cutting-edge technology and making a significant impact in the AI sector. We value diversity and strive to create an inclusive environment where all voices are heard.
Genai Works is an equal opportunity employer. We are dedicated to fostering a collaborative and respectful workplace.
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