Machine Learning Engineer
Description For Machine Learning Engineer
Wonder is revolutionizing the food delivery industry with their innovative "Fast-Fine" dining concept, bringing 30 unique restaurants' offerings to customers' doors in under 30 minutes. As a venture-backed food-tech startup, Wonder is creating a vertically integrated dining experience that makes world-class food accessible everywhere.
The Machine Learning Engineer role is a crucial position within Wonder's Platform team, focusing on building and maintaining the company's end-to-end AI/ML model development and deployment platform. This role encompasses various exciting challenges, from demand forecasting and supply chain planning to personalization systems and generative AI applications.
The ideal candidate will bring 3+ years of software engineering experience with a focus on ML/AI solutions, along with strong Python proficiency and cloud infrastructure knowledge. You'll work with cutting-edge technology while collaborating with stakeholders across the organization to solve complex problems that directly impact the business.
What makes this role particularly exciting is the opportunity to pioneer new technologies in the food-tech space while working with a team of experienced entrepreneurs and industry leaders. You'll be part of a culture that encourages innovation and experimentation, with the chance to influence both technical solutions and team culture.
The position offers competitive compensation, including a $210,000 base salary, equity, and comprehensive benefits. Wonder's commitment to diversity, equity, and inclusion, combined with their objective hiring practices, makes this an excellent opportunity for talented engineers looking to make a significant impact in the food-tech industry.
Join Wonder in transforming the way people experience restaurant-quality dining, while working on challenging technical problems that combine machine learning, logistics, and customer experience. This role offers the perfect blend of technical challenge and business impact, with the opportunity to shape the future of food delivery and dining.
Responsibilities For Machine Learning Engineer
- Build out end-to-end AI/ML model development and deployment platform
- Work on tooling and automation supporting ML use cases across Wonder
- Develop solutions for demand forecasting, supply chain planning, personalization, recommendations, and generative AI applications
- Work closely with product and engineering managers to design and build ML solutions
- Write clean, well-documented, and easily iterable code
- Collaborate cross-functionally with various business functions
Requirements For Machine Learning Engineer
- Bachelor's or Master's degree in Computer Science or 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 ability to troubleshoot complex technical issues
- Excellent communication and interpersonal skills
- Experience with public cloud infrastructure (Azure, AWS, GCP)
Benefits For Machine Learning Engineer
- Competitive salary package
- Equity
- 401K
- Multiple medical plans
- Dental plans
- Vision plans
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