Olo
New York, NY
201-500 employees
Helping restaurant brands interface to the on-demand world through digital ordering and delivery
Other Open Roles
Prior Listings
- Data Analyst, Consumer Insights (USA)
- Senior System Engineer, Data Services
- Technical Product Manager - Data Platform
- Data Engineer
- Engineering Manager, Data Infrastructure
- Data Analyst
- Data Scientist
- Senior Director, Data Science and Business Intelligence
- Business Intelligence Lead
- Data Engineer
- Data Analyst
- Sr Machine Learning Scientist & NLP Expert
- Data Analyst, A/B Testing
- Data Scientist
- Engineering Manager, Data Engineering & Data Infrastructure
- Product Manager, Guest Data Platform
- Senior Reporting Analyst
- Director, Revenue Analytics & Strategy
- Business Analytics Manager
- Director, Business Analytics
Sr Machine Learning Scientist & NLP Expert
Sr Machine Learning Scientist & NLP Expert
This job is no longer open
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 machine learning scientist & natural language processing expert 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, with a focus on the NLP domain. You will maintain Olo’s existing ML applications and work closely with product managers/engineers to develop new features & new algorithm product to transform the restaurant industry.
You can work remotely from anywhere in the U.S. or at Olo's headquarters in NYC on the 82nd floor of One World Trade Center.
What You’ll Be Doing
- Work closely with the product team, understand product objectives, translate ambiguous business problems to ML or other advanced analytical solutions
- Maintain Olo’s existing NLP applications and develop new features
- Stay up to date with new technologies in the field
- Own the entire process from data acquisition, feature engineering/selection to model building, training, testing & monitoring
- Work with and guide the engineering team to deploy the model
- Communicate solutions in a simple, actionable way with a non-technical audience
- Support communication with data visualizations
What We’ll Expect From You
- MS/PhD degree in Math, Statistics, Computer Science, Operations Research or any other quantitative discipline
- 5+ years of real-world predictive modeling experience and 2+ years of hands-on experience in designing and developing enterprise-scale NLP solutions
- Experience in setting up NLP models including data cleansing, feature extraction, model selection & ensemble methods, performance metrics & visualization
- Hands on experience with machine learning techniques such as deep neural nets (DNN, CNN, LSTM-RNN)
- Proficient understanding of the complexity of developing and productizing real-world AI/ML applications such as prediction, recommendation, sentiment analysis, etc.
- Deep knowledge of popular ML frameworks such as TensorFlow, Pytorch Keras, SparkML, scikit-learn, XGBoost, H2O etc
- Excellent knowledge and demonstrable experience in using open source NLP packages such as NLTK, Word2Vec, SpaCy, Gensim, Stanford CoreNLP
- Strong programming skills, preferably in Python
- Ability to work independently in a fast-paced work environment
- Communication skills with the ability to convey the message in business terms, highlight the business impact and opportunity, and correctly call out the right call to action
- US citizen or Permanent Resident
Nice to Have
- Providing active hands-on architectural guidance and leadership through the entire lifecycle of development projects
- Experience in building modern ML platforms a big plus
- Experience working in a cloud environment (AWS, Azure, GCP) or a containerized environment (Kubernetes etc)
About Olo
Olo powers digital ordering and delivery programs that connect restaurant brands to the on-demand world, placing orders directly into the restaurant through all order origination points – from a brand’s own website or app, third party marketplaces, social media platforms, smart speakers, and home assistants. Olo serves as the on-demand ordering and delivery platform for over 300 brands, such as Applebee’s, Checkers & Rally’s, Cheesecake Factory, Chili’s, Dairy Queen, Denny’s, Five Guys Burgers & Fries, Jamba Juice, Noodles & Company, Portillo’s Hot Dogs, Shake Shack, sweetgreen, Wingstop, and more. Learn more at www.olo.com.
Olo is located on the 82nd floor of One World Trade Center. We offer great benefits, such as 20 days of Paid Time Off, fully paid health, dental and vision care premiums, stock options, a generous parental leave plan, and perks like FitBits, rotating craft beers on tap in our kitchen, and food events featuring our clients' menu items (now you know why we give out FitBits!). Check out our culture map:https://www.olo.com/images/culture.jpg.
We encourage you to apply!
Olo is an equal opportunity employer and diversity is highly valued at our company. 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.
If you like what you read, hear, and/or know about Olo, and want to be a part of our team, please do not hesitate to apply! We are excited to hear from you!
This job is no longer open