Otter
Machine Learning Engineer, Otter - Los Angeles
Otter, Los Angeles, California, United States, 90079
Overview
Who we are In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter – to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry’s, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. 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
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 is based in our Los Angeles 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.
Apply for this job * indicates a required field First Name * Last Name * Preferred First Name Email * Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Are you willing to work in the office 5-days a week? * Select... Do you have at least 2 years of Machine Learning experience (personal and school projects included) * Select... Have you received at least a bachelors degree in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field? * Select... Will you now or in the future require sponsorship for employment status? * Select...
Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.
As set forth in Otter’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to VEVRAA, we request this information to measure outreach and recruitment efforts.
Disability Status Select...
PUBLIC BURDEN STATEMENT: This survey should take about 5 minutes to complete.
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Who we are In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter – to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry’s, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. 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
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 is based in our Los Angeles 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.
Apply for this job * indicates a required field First Name * Last Name * Preferred First Name Email * Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf LinkedIn Profile Are you willing to work in the office 5-days a week? * Select... Do you have at least 2 years of Machine Learning experience (personal and school projects included) * Select... Have you received at least a bachelors degree in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field? * Select... Will you now or in the future require sponsorship for employment status? * Select...
Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.
As set forth in Otter’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to VEVRAA, we request this information to measure outreach and recruitment efforts.
Disability Status Select...
PUBLIC BURDEN STATEMENT: This survey should take about 5 minutes to complete.
#J-18808-Ljbffr