LivePerson is a transformational force in how brands and consumers communicate. With over 18,000 brands, including HSBC, Disney, Verizon, and Home Depot, we are on a mission to make life easier for people and brands everywhere through trusted Conversational AI. We believe in a future where conversations are the norm for getting your intentions fulfilled - whatever they are.  

We are an innovative, intent-driven company that believes in building the future and we are looking for growth minded, unconventional thinkers, developers and builders to join the team.

You will thrive here if: 

You can operate in a fast paced, dynamic environment

You can build partnerships that move our business forward

You build code that is simple, understandable, and clean  

You see feedback or failure as motivation to learn and to grow 

You believe data-driven decision making is the norm

You relate to our core principles (link) and want to work with Conversational AI experts

Data Engineer - Machine Learning

• Looking for a software engineer who will have the opportunity to work with cutting-edge technologies for future generation of natural language understanding and generation.
• As a software engineer, you will help to build, use and integrate with the machine learning systems to solve NLU/NLP/NLG problems.

In this position, you will

• Design, build, and test pipelines and platforms to streamline the development of Natural Language related ML models for language understanding and analysis, tools for profiling and monitoring training and scoring processes, hyper-parameter tuning, model versioning, testing and validation
• Work together with data scientists to help test and integrate high quality machine learning models that scale to handle large volumes of data in real time and production grade scalable software
• Work in an Agile/Scrum environment to deliver high quality software for real world problems

You should be an expert in:

• Experience in Natural Language Processing, and Natural Language Understanding.
• Excellent programming skills in Python, and Java
• Prior working experience in with scientific computing and NLP libraries, such as Scipy, Numpy, Pandas, Scikit-Learn, NLTK, Gensim, Stanford NLP
• Prior working experience in one of deep learning frameworks, such as Keras, PyTorch, & Tensorflow 
• Knowledgeable of word vector spaces, RNN, LSTM, and CNN 
• Proven track record of achieving significant results
• Experience building REST APIs
• Experience with Git, Jenkins and other Development tools
• Experience working with large volumes of data and distributed systems
• Willingness to dive deep, experiment rapidly and get things done

Minimum Qualifications:

• BS degree in Computer Science, Computer Engineering or a related technical discipline.
• 3+ years of experience in software development with machine learning 

LivePerson was named to FastCompany’s World’s most innovative companies of 2020 list for the Artificial Intelligence category. We offer top tier tech & data science colleagues, along with opportunities to push your own limits. We embrace invention and experimentation. You’ll have great benefits, flexible time off, plus snacks and drinks to keep your mind fresh and stomach full. Most importantly, you’ll have an ability to make an impact at work and at brands across the globe as we build the future with trusted Conversational AI together.

At LivePerson, people from diverse backgrounds come together to do their best work and be their authentic selves. We are proud to be an equal opportunity employer. 

All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.