Overview
Machine Learning Engineer, Otter - San Francisco
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What You’ll Do
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
What We’re Looking For
Advanced degree (PhD or Master's) in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field with preferred 3+ years of relevant experienceDeep 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, etcHigh energy, rapid software development, iterating and pivoting quicklyStrong ability to design and create long-lasting architecture from scratch and evolve existing systemsProficient in Python; Familiarity with Java / GoExperience with data analysis and visualizationStrong communication and presentation skillsWhy join us
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.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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