Realm is partnering with an innovative company that is transforming the future of drive-thru ordering through Voice AI technology. This company is revolutionizing the customer experience in the quick-service restaurant industry by enhancing accuracy, speed, and efficiency with cutting-edge conversational interfaces. As they scale their operations, they are looking to bring on a Machine Learning Engineer to help shape the future of their product.

About the Role:

As a Machine Learning Engineer, you will be a key player in developing and deploying AI-driven models that power a next-gen Voice AI platform. You will collaborate closely with a talented team to:

Develop and refine advanced AI models: Focus on improving speech-to-text (STT), text-to-speech (TTS), and large language models (LLMs) to create precise, natural, and engaging voice interactions for high-traffic environments like drive-thru lanes.
Improve model performance: Apply state-of-the-art techniques in machine learning to enhance speech recognition, language understanding, and overall conversational AI performance, ensuring accuracy and efficiency in real-world deployment.
Integrate AI models with production systems: Work alongside engineering teams to seamlessly integrate models with Point of Sale (POS) systems, kitchen display systems, and drive-thru communication hardware, ensuring an optimal end-to-end experience.
Research and innovate: Stay ahead of the curve by exploring the latest advancements in speech AI, machine learning, and deep learning to influence the product’s evolution.
Own the model lifecycle: Contribute to all phases of the model development process, from data collection and training to deployment and ongoing optimization.

Qualifications:

2+ years of experience in machine learning, AI, or a related field (preferred)
Strong understanding of machine learning principles and experience with modeling techniques (e.g., supervised/unsupervised learning, NLP, reinforcement learning)
Experience with speech processing (e.g., speech-to-text, text-to-speech, speaker recognition) or audio signal processing is a strong plus
Familiarity with deep learning frameworks like TensorFlow, PyTorch, or Keras
Experience with data preprocessing, model training, and evaluation (e.g., managing noisy data, optimizing models for real-time inference)
Proficiency in Python and experience deploying AI models to production
Passion for AI and its real-world applications, particularly in the quick-service restaurant space
Team-oriented mindset: Ability to collaborate effectively with cross-functional teams and contribute to product direction

Benefits:

Competitive salary & equity
Comprehensive health insurance (medical, dental, vision)
Gym membership
Opportunity to work on cutting-edge AI technology and research
Be part of a passionate, driven team with a shared vision to disrupt an entire industry

Let’s Chat If You:

Are passionate about the potential of Voice AI to transform industries
Thrive in a fast-paced, collaborative environment
Enjoy taking ownership of technical challenges and making a real-world impact
Want to build AI that improves the customer experience for millions of people every day

Join this exciting opportunity and help shape the future of drive-thru ordering with AI technology that’s revolutionizing an entire industry!

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Machine Learning Engineer

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