Machine Learning Engineer, Otter - Mountain View

Otter • Mountain View, CA

103d

About The Position

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 leveraging 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. You will 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, and work closely with a team to enhance and support technology innovation within the team and support CSS’ technological advancements.

Requirements

• Advanced degree (PhD or Master) in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field.
• 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.

Responsibilities

• Leverage cutting-edge machine learning and statistical methodologies to address diverse challenges.
• 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.
• Collaborate with a team to enhance and support technology.
• Drive innovation within the team and support CSS’ technological advancements.

Benefits

• Collaborative environment with support and guidance from experienced colleagues and managers.
• Opportunity to work with a class of highly skilled, motivated, and experienced engineers.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Master's degree
• Number of Employees: 1-10 employees