Senior Machine Learning Engineer
Confirmed live in the last 24 hours
Olo

501-1,000 employees

Digital ordering and delivery platform for restaurants.
Company Overview
Olo is a pioneering SaaS platform in the hospitality industry, focusing on facilitating online ordering and delivery for restaurants, convenience stores, and supermarkets. With its ability to process over two million orders daily across approximately 77,000 locations, Olo provides a data-driven approach to business decisions and personalizing guest experiences. The company's extensive integration with over 300 technology partners and its coverage of 99.9% of the U.S. market, allows it to offer a highly flexible and expansive restaurant commerce ecosystem, making it a trusted partner for over 600 restaurant brands.
Data & Analytics
Consumer Software

Company Stage

N/A

Total Funding

$560.9M

Founded

2005

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

2%

1 year growth

5%

2 year growth

14%
Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Kubernetes
Microsoft Azure
Python
Tensorflow
Keras
Pytorch
AWS
Natural Language Processing (NLP)
Linux/Unix
Google Cloud Platform
CategoriesNew
AI & Machine Learning
Applied Machine Learning
Requirements
  • 3+ years of real-world machine learning experience
  • BS/MS/PhD degree in Math, Statistics, Computer Science, Operations Research, or any other quantitative discipline
  • Proficient understanding of the complexity of developing and productizing real-world AI/ML applications such as predictions, NLP, recommendations, sentiment analysis, etc.
  • Deep knowledge of popular ML frameworks such as TensorFlow, Pytorch Keras, SparkML, scikit-learn, XGBoost, H2O, etc.
  • Strong programming skills, preferably in Python
  • Experience working in a cloud environment (AWS, Azure, GCP) and a containerized environment (Linux, Kubernetes, etc)
  • Ability to work independently in a fast-paced, high-ownership work environment
Responsibilities
  • Build and own Machine Learning solutions from start to finish, from data pipelines, modeling, training to production deployment and monitoring
  • Collaborating closely with product teams in their domains, building domain expertise, and leveraging ML to solve critical business problems
  • Setting a foundation for an expanded ML team and culture in Olo
  • Collaborating with Data Engineering to build and maintain robust data pipelines and our machine-learning platform
  • Work with the ML team to maintain Olo’s existing ML applications, including predictive order ready times and recommendations
  • Find new ways to use large sets of diverse data, experimentation, and new models to create a cutting-edge restaurant technology platform