Job Details

Overview

Machine Learning Engineer, Otter - San Francisco

Who we are

In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter – to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry's, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches.

As a Machine Learning Engineer at CSS, you'll be an integral part of building out the state-of-the-art AI intelligence engine and applications for the food industry. Your role will encompass a diverse range of responsibilities, including:

• Leverage cutting-edge machine learning and statistical methodologies, including large language models (LLMs), deep learning, and graph neural networks, to address diverse challenges, including areas such as AI agents, order logistics prediction and optimization, robotics automation, recommendation systems, knowledge graph building and mining, etc
• Develop and deploy robust, low-maintenance applied machine learning solutions in a production environment.
• Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources.
• Collaborative Teamwork: Work closely with a team to enhance and support technology
• Innovation: Drive innovation within the team and support CSS' technological advancements

Qualifications

• Advanced degree (PhD or Master's) in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field with preferred 3+ years of relevant experience
• Deep knowledge and experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.
• Working knowledge in one or more of the following: generative AI, data mining, information retrieval, advanced statistics or natural language processing, computer vision, etc
• High energy, rapid software development, iterating and pivoting quickly
• Strong ability to design and create long-lasting architecture from scratch and evolve existing systems
• Proficient in Python; Familiarity with Java/Go
• Experience with data analysis and visualization
• Strong communication and presentation skills
• Growing market: You'll be focused on an $80 billion market that's projected to reach at least $500 billion by 2030 in the US alone.
• Changing the restaurant industry: You'll be part of a team that helps restaurants succeed in online food delivery.
• Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you'll work closely with other teams to ensure our customer's success.
• World class talent - you will work with a class of highly skilled, motivated, and experienced engineers that you can learn and grow together.

Workplace

This role is based in our San Francisco office. As a company driven by innovation and continuous change, close collaboration is essential. We're constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That's why all of our office-based teams work onsite, five days a week.

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• Do you have at least 2 years of Machine Learning experience (personal and school projects included) *
• Have you received at least a bachelor's degree in Computer Science, Machine Learning, Data Mining, Statistics, or a related technical field? *

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