Otter
Overview Machine Learning Engineer, Mountain View. Based in our Mountain View office.
Ensure all your application information is up to date and in order before applying for this opportunity. Who we are Otter delivers software to help restaurateurs succeed in online food delivery. We power delivery for restaurants around the world, including Chick-fil-A, Ben & Jerry’s, KFC, and Eataly, helping to increase sales, reduce order issues, and decrease delivery headaches. As a Machine Learning Engineer at Otter, you will be integral to building the state-of-the-art AI intelligence engine and applications for the food industry. Your responsibilities include the following: Responsibilities
Leverage cutting-edge machine learning and statistical methodologies, including large language models (LLMs), deep learning, and graph neural networks, to address challenges in AI agents, order logistics prediction and optimization, robotics automation, recommendation systems, knowledge graph building and mining, and related areas. Develop and deploy robust, low-maintenance applied machine learning solutions in production. Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources. Collaborate closely with a team to enhance and support technology and drive innovation within the CSS organization. Qualifications
Advanced degree (PhD or Master) in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field with 3+ years of relevant experience preferred. Deep knowledge and experience with ML models (LLMs, GNNs, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.). Working knowledge in one or more of: generative AI, data mining, information retrieval, advanced statistics, natural language processing, computer vision. Strong software development pace and ability to iterate quickly; capable of designing long-lasting architectures from scratch and evolving existing systems. Proficient in Python; familiarity with Java/Go. Experience with data analysis and visualization; strong communication and presentation skills. Understanding of the growth and potential of the market (e.g., $80B to $500B by 2030 in the US). Location This role is based in our Mountain View office. All office-based teams work onsite, five days a week. EEO and Compliance Otter is an Equal Employment Opportunity employer. The company does not discriminate on the basis of any protected characteristic. Voluntary self-identification is requested for government reporting purposes; participation is voluntary and confidential. If you have a disability or have ever had one, you may choose to complete the voluntary self-identification form. Information provided is confidential and used solely for compliance purposes.
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Ensure all your application information is up to date and in order before applying for this opportunity. Who we are Otter delivers software to help restaurateurs succeed in online food delivery. We power delivery for restaurants around the world, including Chick-fil-A, Ben & Jerry’s, KFC, and Eataly, helping to increase sales, reduce order issues, and decrease delivery headaches. As a Machine Learning Engineer at Otter, you will be integral to building the state-of-the-art AI intelligence engine and applications for the food industry. Your responsibilities include the following: Responsibilities
Leverage cutting-edge machine learning and statistical methodologies, including large language models (LLMs), deep learning, and graph neural networks, to address challenges in AI agents, order logistics prediction and optimization, robotics automation, recommendation systems, knowledge graph building and mining, and related areas. Develop and deploy robust, low-maintenance applied machine learning solutions in production. Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources. Collaborate closely with a team to enhance and support technology and drive innovation within the CSS organization. Qualifications
Advanced degree (PhD or Master) in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field with 3+ years of relevant experience preferred. Deep knowledge and experience with ML models (LLMs, GNNs, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.). Working knowledge in one or more of: generative AI, data mining, information retrieval, advanced statistics, natural language processing, computer vision. Strong software development pace and ability to iterate quickly; capable of designing long-lasting architectures from scratch and evolving existing systems. Proficient in Python; familiarity with Java/Go. Experience with data analysis and visualization; strong communication and presentation skills. Understanding of the growth and potential of the market (e.g., $80B to $500B by 2030 in the US). Location This role is based in our Mountain View office. All office-based teams work onsite, five days a week. EEO and Compliance Otter is an Equal Employment Opportunity employer. The company does not discriminate on the basis of any protected characteristic. Voluntary self-identification is requested for government reporting purposes; participation is voluntary and confidential. If you have a disability or have ever had one, you may choose to complete the voluntary self-identification form. Information provided is confidential and used solely for compliance purposes.
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