Otter aims to help restaurateurs succeed in online food delivery by increasing sales, reducing order issues, and decreasing delivery headaches through their AI intelligence engine and applications.
Requirements
- 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
- 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
Responsibilities
- 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
Other
- 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
- High energy, rapid software development, iterating and pivoting quickly
- Strong communication and presentation skills
- This role is based in our San Francisco office.
- all of our office-based teams work onsite, five days a week.
