Senior Machine Learning Engineer

Olo is a leading on-demand commerce platform powering the restaurant industry’s digital transformation and personalizing the guest experience to maximize customer lifetime value. Olo customers can build digital experiences with the largest and most flexible restaurant commerce ecosystem on the market.

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.

What You'll Be Doing

• 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.

What We'll Expect From You

• 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.

About Olo

Olo is the engine of hospitality powering the restaurant industry's digital transformation. As a leading open SaaS platform we enable over 700 restaurant brands to jointly reach 85 million connected guests across approximately 80000 locations. More than two million orders per day run on Olo's platform allowing brands to maximize the convergence of digital and brick-and-mortar operations while raising the bar on hospitality. The result: brands do more with less and make every guest feel like a regular. With integrations to over 300 technology partners our customers can build digital experiences with the largest and most flexible restaurant commerce ecosystem on the market. You have likely used Olo and not even known it! Learn more at olo.com .

We’re remote-friendly. Since 2015 we have been evolving our culture to continue to support a more distributed workforce and now over 75% of our team works remotely across the U.S. If you're in the New York City area you can choose to work remotely or from Olo's headquarters on the 82nd floor of One World Trade Center.

We offer great benefits such as 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 a 401k match remote-office stipend company equity a generous parental leave plan volunteer time off gift matching policy and more!

Our best estimate of the compensation range for this opportunity is $135k-195k annually depending on the experience you bring and your location. We look forward to discussing your salary expectations and our full total rewards offerings throughout the interview process.

We encourage you to apply!

We value diversity. At Olo we know a diverse and inclusive team makes our workplace better. Don't meet every single qualification in the job description? Market data shows that women and people of color are less likely to apply to jobs unless they meet every single qualification. We are dedicated to building a diverse inclusive and authentic workplace that is free from discrimination and harassment; this allows us to make better decisions and better serve the communities we’re a part of. So if you're excited about this role but your previous experience doesn't align perfectly with every qualification in the job description we encourage you to apply anyway. You may be just the right candidate for this or other roles.

All applicants receive consideration for employment. We do not discriminate on the basis of race religion color national origin gender identity sexual orientation pregnancy age marital status veteran status or disability status.

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