Senior Data Scientist

LivePerson (NASDAQ:LPSN) is a Conversational AI company creating digital experiences that are Curiously Human. Every person is unique, and our technology makes it possible for companies, including leading brands like HSBC, Orange, and GM Financial, to treat their audiences that way at scale. Nearly a billion conversational interactions are powered by our Conversational Cloud each month.

You'll be successful at LivePerson if you are excited to build something from the ground up. You excel by finding daily opportunities to grow at the same pace as the technology we're building, and you build partnerships that improve our business. Likewise, you're someone who sees feedback as a chance to learn and believe decisions powered by data are the norm. You care about the wellbeing of others and yourself.

Overview:

You will work with one of the world's largest conversational data sets to push the boundaries of computational linguistics and guide creative products at scale. In addition to a world-class data set, you'll also have an at-scale population of expert data annotators (contact center agents) to help guide investigation and learning.

• Propose and implement research efforts that bring product strategy
• Publish and present modern research derived from our conversational data
• Apply the latest methods of NLP/NLU to learn and find value from one of the world's largest conversational data sets
• Develop approaches to unsupervised/semi-supervised problems in intent recognition and dialog management
• Learn NLP systems using self-guidance from unannotated dialogue - Applying latent structure within dialogue data to solve classification and dialogue problems more with efficient use of labels
• Faceted unsupervised learning -- how can we inject knowledge into unsupervised tasks? How can we inject knowledge into clustering/similarity tasks to reflect facets we care about (intent) and orthogonalize irrelevant facets?
• Lightly/distantly supervised dialog management ML systems - How can we use self-guidance and reinforcement learning to learn representations of conversational goals and policies from unlabeled historical conversations.
• Controllable natural language generation -- How can we build natural language generation systems that can be easily controlled/configured?
• Graduate degree in Linguistics, Computer Science, Statistics, Mathematics, or another relevant discipline
• 3–5 years of post-graduate experience in ML, specifically in NLU/NLP/Deep learning

• Expertise in NLP techniques such as question answering, intent classification, knowledge extraction, and dialogue management
• Experience applied research on NLP or related fields, e.g., NLU, NLG, ASR/TTS, or experience with dialogue systems
• Write Python code that is efficient and clean in a Linux environment
• Demonstrated capacity to work with teammates in a collaborative environment

Preferred qualifications:

• Ph.D. is desired
• 3+ years of experience in statistical modeling such as forecasting, regression, causal inference, and AB testing
• 3+ years of experience in databases and SQL
• 3+ years of experience in writing, testing, monitoring, and improving production-quality code
• 3+ years of experience evaluating ML models in production
• Record of publications in journals/conferences in the field, such as EMNLP, ACL, ICLR, NeurIPS, NAACL

• Health: medical, mental, dental, and vision
• Time away: vacation, dependent care, holidays, wellness days, and more
• Financial: 401K, ESPP, Basic life and AD&D insurance, long-term and short-term disability
• Family: parental leave, maternity support, fertility services
• Development: tuition reimbursement, native AI learning
• Additional: WFH support, 24/7 access to professional counselors, voluntary ins. coverage, exclusive perks and discounts

Your entrepreneurial spirit will be supported. We love team members who chase down their big ideas, become experts, help colleagues, and own their work. These four company values guide our continued, holistic growth as individuals, as teams, and as a global organization. And to further make our point, let's just say we're very proud to be on Fast Company's list of Most Innovative Companies and Newsweek's list of most-loved workplaces. At LivePerson, the option to work remotely has helped shape who we are today: a collective of innovators and industry leaders working toward the same vision. While we maintain hubs in NY and Seattle as well as WeWork locations across the globe, our employees choose the environments that work best for them from anywhere in North America.

At LivePerson, people from diverse backgrounds come together to make an impact and be their authentic selves. One way we share and connect is through our employee resource groups such as: Live In Color, LP Proud, and Women In Tech. 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 with criminal histories, consistent with applicable federal, state, and local law.

We are committed to the accessibility needs of applicants and employees. We provide reasonable accommodations to job applicants with physical or mental disabilities. Applicants with a disability who require a reasonable accommodation for any part of the application or hiring process should inform their recruiting contact upon initial connection.