Senior Machine Learning Engineer
Olo
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New York, NY, USA · Remote
Posted 6+ months ago
Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalized and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable hospitality at scale, helping brands to do more with less, and making every guest feel like a regular.
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 (NYSE: OLO) is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 700 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. 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.
This job is no longer accepting applications
See open jobs at Olo.See open jobs similar to "Senior Machine Learning Engineer" RRE.