Who we are 

At City Storage Systems, we’re building Infrastructure for Better Food. We help restaurateurs around the world succeed in online food delivery. Our goal is to make food more affordable, higher quality and convenient for everyone. We’re changing the game for restaurateurs, whether they’re entrepreneurs opening their first restaurant all the way through to your favorite global quick-service restaurant chains.

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) 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

Why 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.

What else you need to know 

This role can be based in our Mountain View, San Francisco, Seattle, or Los Angeles office location. We believe that people do their best work when they are together. As a company, we’re in the marketplace of ideas and innovation. When you’re constantly innovating, changing how an industry works, inventing new products and processes - and we are doing all these things - we believe we’re better as a team in-person. That’s why all of our teams (except for our field-based roles) are now working from one of our office locations 5 days a week. Looking forward to sharing more about a Career of Substance at City Storage Systems. 

Ready to join us as we serve those who serve others? 

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