Senior Machine Learning Engineer, Olo
$158-178k
Plus equity
On-demand commerce platform for restaurants
Job no longer available
On-demand commerce platform for restaurants
501-1000 employees
Job no longer available
$158-178k
Plus equity
501-1000 employees
Company mission
To give customers better, faster, and more personal service from the restaurants they love through its digital ordering and delivery platform.
Role
Who you are
- 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
What the job involves
- The Senior Machine Learning Engineer we are seeking will be able to build and scale machine learning models to solve the many business problems emerging from Olo’s digital platform and ecosystem
- You will work closely with product managers/engineers across multiple teams to maintain Olo’s existing ML applications and develop new ML products that transform the restaurant industry
- You can work remotely from anywhere in the U.S. or at Olo's headquarters in NYC
- 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
Our take
In recent years, there have been dramatic changes to the way the catering industry operates. The benefits of pandemic-imposed structures, such as digital ordering interfaces and delivery infrastructure, have outlived the reason they were brought on, as many restaurants have found these digital solutions provide both operational efficiency and additional revenue.
Olo provides all-in-one digital ordering and delivery platforms for restaurants, providing software interfaces for digital payments, menus and ordering, in addition to on-demand delivery. The platforms are provided in both mobile and web formats and facilitate both traditional and alternative ordering systems such as at kiosks, drive-thrus, and voice automated ordering. Whilst the company certainly faces competition from the variety of alternative digital ordering platforms for the catering industry, it stands out by providing an all-in-one solution, instead of focussing on just one area.
The company has partnered with catering giants such as Denny's and The Cheesecake Factory, whilst also providing affordable systems for small independent businesses. The latest addition to its offerings is the commercially available "Borderless" functionality, which has the potential to speed up and streamline payment at venues across Olo's network.
Kirsty
Company Specialist
Insights
Company
Funding (last 2 of 7 rounds)
Jan 2019
$100m
SERIES D
Jan 2019
$18m
EARLY VC
Total funding: $181.3m
Company benefits
- Premium healthcare coverage
- For you and your family
- 20 days PTO, 10 sick days +
- 4 mental health days
- Flex work policy + remote office stipend
- 401(k) Match
- Company Equity
Company HQ
Tribeca, New York, NY
Articles
Leadership
Noah Glass
(CEO)Experience as International Expansion Manager of Endeavor Global, Inc. from 2003 to 2005. CEO of GoMobo.com since 2005.
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