Data Scientist
Daydream
PythonPyTorchTensorflow
Job Level
Mid-LevelSenior
Tech Stack
DockerPythonPyTorchTensorflow
About the role
- We are seeking a highly skilled AI / LLM Engineer to help advance our Drive Through AI initiatives.
- Create, fine-tune, and deploy AI models that enhance restaurant ordering, streamline operational workflows, and improve system intelligence.
- Collaborate closely with product managers, ASR specialists, and prompt engineering teams to provide tools, integrations, and model improvements.
- Apply cutting-edge Large Language Models (LLMs) and NLP in real-world, high-volume environments for accurate understanding and intelligent responses.
- Build and maintain model infrastructure, APIs, and integrations supporting prompt engineering and audio processing pipelines.
- Fine-tune and adapt pre-trained LLMs (e.g., GPT, LLaMA, Falcon) for the QSR domain.
- Use observability tools like Langfuse to monitor, evaluate, and troubleshoot model performance in production.
- Embed AI models into production-grade systems connected to order management, displays, and kitchen workflows.
- Ensure solutions are efficient, scalable, and cost-effective for high-throughput, continuous operations.
- Stay current with LLM architectures, RAG, and generative AI techniques to improve product capabilities.
- Maintain documentation of model architectures, training data sources, and evaluation metrics for SOC 2 and compliance.
Requirements
- Bachelor’s or Master’s degree in Computer Science or related field.
- 5+ years of experience in AI/ML, with strong expertise in NLP, transformer architectures, and deep learning.
- Experience with prompt engineering, model fine-tuning, and evaluation techniques.
- Proficiency in Python and experience with frameworks like PyTorch or TensorFlow.
- Familiarity with the Instructor and interest or experience in migrating to Pydantic for model definition and validation.
- Experience integrating AI models into production systems via containerization (Docker) and APIs.
- Strong problem-solving skills and ability to thrive in a collaborative, fast-paced environment.
- Excellent communication and documentation abilities.
- Ability to work until 5 p.m. ET with a reliable remote work setup.
