Staff / Principal Machine Learning Engineer, Inworld AI

• We are seeking Staff and Principal level Machine Learning Engineers with extensive experience in researching, designing, and implementing Machine Learning systems
• BA/BS degree or higher in Computer Science, Engineering, or a similar technical field
• 6 years of experience in software development in one or more programming languages such as Python or C++
• 4 years of experience in applying ML algorithms in natural language processing and/or speech processing and/or action-planning domains
• Fluency with ML frameworks such as PyTorch, TensorFlow, or JAX
• Experience in fine-tuning and evaluating LLMs, such as LLaMA, Mistral, Qwen, etc., is a significant plus
• Knowledge of working with embedded systems and/or running ML on edge devices is a big plus

Desirable

• You will be at the forefront of building generative AI products and agentic frameworks that utilize a wide range of modern AI stacks, including LLMs, diffusion-based synthesis models, and many more
• Research and experiment with cutting-edge ML models and techniques to advance Inworld’s AI capabilities
• Develop production-scale infrastructure to train, evaluate, and serve ML models efficiently
• Provide guidance and mentorship to junior engineers, fostering a culture of learning and collaboration
• Exploring the impact on quality and latency of using a new attention implementation algorithm within the LLM serving infrastructure
• Designing and implementing a high-level public API to enable developers to create new AI voices and use them at runtime
• Exploring various on-device matrix multiplication backends to optimize transformer-based speech recognition models for a specific device