Presto Voice Innovation is looking for an ML Engineer to help architect and build an internal scale.ai to annotate data for the Presto Voice and Presto Vision products. Ideal candidates will have a strong, language-agnostic programming background, with expertise in preparing ML datasets, pipelines, and designing tools to make dataset creation, evaluation, and curation more efficient. They should be as comfortable with data preparation and analysis as they are with deploying high-quality models/code to solve real-world problems. We are looking for someone who sees the forest through the trees and is comfortable creating solutions to business problems without needing someone to provide the details of how to implement the solution.
A primary Voice Innovation goal is to enable the transference of Human knowledge and intuition to machine systems. We consider this the core problem of building AI systems.
We are looking for someone to own this responsibility and change the face of AI Voice Ordering. If you are intensely curious, incredibly ambitious, and relentlessly resourceful please reach out!
Responsibilities:
-Help conceptualize, design, and implement a data annotation system empowering lower-skilled workers to
contribute to conversational AI development.
-Partner with the Head of Voice Innovation in collaborating with OpenAI to build a proof of concept automated
voice ordering system.
-Contribute to both the frontend and backend of annotation tools, and use their experience to guide the creation
of these tools.
-Help architect Presto’s nascent ML Ops approach with creativity and flexibility.
Qualifications:
-Strong understanding of object-oriented and functional programming paradigms. Python is a must, and
Javascript a plus. You can learn any language or tech in a few weeks.
-Ability, and experience, in building usable products end to end.
-Experience working with APIs for OpenAI and Huggingface, and producing tools that will construct appropriate
datasets for training and fine-tuning large language models.
-Ideally advanced degrees or equivalent experience in CS with ML specialization.
-Bonus: understanding the mathematics and economics of gamification. Able to implement algorithms to drive
continuous improvements in data annotator ability.
Presto
