Sr Machine Learning Scientist Nlp Expert at Olo

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!