About Us

Imagine: 30 unique restaurants to order from, brought to your door in under 30 minutes. That’s what our customers experience.

At Wonder, we want to make world-class food within reach, no matter where you live. That’s why we’ve created a vertically integrated, new standard of dining that will allow you to enjoy menus from award-winning chefs and iconic restaurants across the country, all in one place. Our elevated brick + mortar locations will offer pick up and dine in options, as well as delivery to your home.

As a food-tech startup backed by top-tier venture capitalists and led by a team of experienced entrepreneurs—including some of the most accomplished leaders in the technology, culinary, and logistics industries—we’re growing. Join us in pioneering a new category of dining called “Fast-Fine”, and revolutionizing the way people eat.

About the role

We’re looking for a Machine Learning Engineer to help build out our end-to-end AI/ML model development and deployment platform. As a Machine Learning Engineer on Wonder's Platform team, you will work on tooling and automation that supports the range of ML use cases across Wonder, including demand forecasting, supply chain planning, personalization, recommendations, and generative AI applications. Our team works with stakeholders from all over the company to solve complicated problems with cutting edge technology. Wonder strives to push the boundaries of what's possible, and our culture encourages continuous innovation and experimentation. Tech not only follows this, but enables the rest of the organization to do the same. Bring your knowledge and experience to our team culture, and influence it for the better! 

The experience you have

Bachelor's or Master's degree in Computer Science or a related field. 3+ years of experience in software engineering, focused on delivering ML/AI solutions to production. Proven experience in implementing high-quality systems. Proficiency in Python, machine learning techniques and operations. Strong problem-solving skills and the ability to troubleshoot complex technical issues. Excellent communication and interpersonal skills. Experience with public cloud infrastructure such as Azure, AWS, GCP.  Nice to have: Experience in writing and debugging SQL queries Experience with Airflow, Luigi, or similar data orchestration platforms Active member of the open source or local tech community

The way you work

Working closely with your product and engineering managers to design and build ML solutions that have a profound impact on the business. Code that is clean, well documented, and easy to iterate on. Eagerness to learn cross-functionally, not only within the ML domain but also within various business functions like Culinary, Operations, Consumer Product, Marketing, Finance, etc Openness to both giving and receiving constructive feedback with the intention of bettering everyone involved Thirst for learning and a passion for putting new technologies, processes and patterns into practice in a realistic manner Ability to understand how the whole system fits together at both a high level as well as at a detailed level in the given area of responsibility and beyond

Benefits

We offer a competitive salary package including equity and 401K. Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed.  

Base Salary Range: $210k

A final note 

At Wonder, we believe that in order to build the best team, we must hire using an objective lens.  We are committed to fair hiring practices where we hire people for their potential and advocate for diversity, equity, and inclusion.  As such, we do not discriminate or make decisions based on your race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class.  If you have a disability, please let your recruiter know how we can make your interview process work best for you.

We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy.