Olo is a leading open SaaS platform for restaurants that enables hospitality at every touchpoint.
Mobile Ordering • Digital Commerce • Online Ordering • SaaS Restaurant Platform • Delivery Management
501 - 1000
💰 $103.3M Post-IPO Equity on 2021-11
February 29
Olo is a leading open SaaS platform for restaurants that enables hospitality at every touchpoint.
Mobile Ordering • Digital Commerce • Online Ordering • SaaS Restaurant Platform • Delivery Management
501 - 1000
💰 $103.3M Post-IPO Equity on 2021-11
• Build and own Machine Learning solutions from start to finish, from data pipelines, modeling, training to production deployment and monitoring • Collaborate closely with product teams in their domains, building domain expertise, and leveraging ML to solve critical business problems • Set a foundation for an expanded ML team and culture in Olo • Collaborate with Data Engineering to build and maintain robust data pipelines and machine-learning platform • 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
• 3+ years of real-world machine learning experience, developing models and shipping models to production • 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
• 20 days of paid time off • 10 separate sick days • 11 holidays plus year-end closure • Health, dental and vision coverage for yourself and your family • 401k match • Remote-office stipend • Company equity • Generous parental leave plan • Volunteer time off • Gift matching policy
Apply NowFebruary 27
501 - 1000
🇺🇸 United States – Remote
💵 $102.9k - $240.2k / year
💰 $295M Post-IPO Equity on 2021-07
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🗽 H1B Visa Sponsor
February 22
51 - 200
🇺🇸 United States – Remote
💵 $145k - $195k / year
💰 $130M Series A on 2022-04
⏰ Full Time
🟠 Senior
🤖 Machine Learning Engineer
🗽 H1B Visa Sponsor