ML Engineer, Data/Ops

United States /
Engineering – Voice /
Full-Time
/ Remote
The restaurant industry is currently going through a major labor shortage. This situation will only worsen if there is an economic downturn, especially for quick service restaurants. Presto is the leader in next-gen automation technologies that help restaurants increase capacity, lower costs, and enhance guest experience by significantly improving labor productivity.

● Voice:  Guests and staff can place orders using conversational A.I. with over 95% accuracy (highest in the industry), even in noisy environments.

● Vision:  Using just a few cameras equipped with computer vision, restaurants can measure throughput and order accuracy, identify issues, repeat visitors and implement real-time fixes.

● Touch:  Designed for both drive-thru and dine-in applications, the same Presto Flex can be deployed as a pay-at-table, staff handheld, kiosk, or drive-thru line buster—offering wide front-of-house flexibility.

Join us to be a part of a phenomenon that is revolutionizing the restaurant industry!

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 Voice Innovation:

    • Presto’s Elite Voice Innovation Team is dedicated to pushing our Voice Product forward by leaps and bounds. We understand that the market for voice ordering will be won or lost in the next year, and we very very much intend to win. We’ve just launched our market-leading Drive Thru Voice AI product. And are about to launch on the phone as well.
    • Every member of the VX team is considered a Product Engineer, in regards to ownership of your projects, from product design to engineering implementation. 
    • We prefer ambitious, self-driven makers/hackers who are great at prototyping, but also write elegant code that will go into production. Self-management is absolutely essential.
The U.S. base salary range for this position is $116,000 to $147,000 + equity + benefits.  Our salary ranges are determined by role, level and location.  The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all U.S. locations.  Within the range, individual pay is determined by location and additional factors, including job related skills, experience, and relevant education or training.  At Presto, it is not typical for the individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances for each case.  

Presto is a public company (NASDAQ: PRST) and its compensation strategy aims to reward high performers and retain them for the long term.  Other benefits to U.S.-based employees include medical, dental, and vision insurance, 401(k) program, and paid-time-off (PTO).  To learn more, please visit: www.presto.com.

With over 250,000 systems shipped, we are one of the largest labor automation technology providers in the industry. Founded at M.I.T. in 2008, Presto is headquartered in Silicon Valley, California, with customers including many of the top 20 restaurant chains in the U.S.

We value people from all walks of life and are committed to creating an inclusive hiring process and work environment.  We especially encourage historically underrepresented candidates to apply.  We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law. If you need an accommodation to access the job application or interview process, please contact recruiting@presto.com.