LivePerson (NASDAQ: LPSN) is the global leader in enterprise conversations. Hundreds of the world’s leading brands — including HSBC, Chipotle, and Virgin Media — use our award-winning Conversational Cloud platform to connect with millions of consumers. We power nearly a billion conversational interactions every month, providing a uniquely rich data set and safety tools to unlock the power of Conversational AI for better customer experiences.  

At LivePerson, we foster an inclusive workplace culture that encourages meaningful connection, collaboration, and innovation. Everyone is invited to ask questions, actively seek new ways to achieve success and reach their full potential. We are continually looking for ways to improve our products and make things better. This means spotting opportunities, solving ambiguities, and seeking effective solutions to the problems our customers care about. 

Overview:

Our team is responsible for products, tools and services to manage and streamline all AI efforts at LivePerson.  This is an opportunity to shape the way we do data science and build AI-based products.  Topics include generative AI application building (and tools/frameworks), LLM fine-tuning pipelines, feature extraction and storage, experiment tracking, transformation and training pipelines, deployment and large-scale serving of models.  In addition, you will be providing engineering support for ML model development, which includes optimization of ML models for production, architectural oversight of model dependencies and integration with products and services.

You will: 

• Collaborate on the design and implementation of our internal machine learning platform
• Collaborate on the design and implementation of our consumer-facing Generative AI development product
• Design, build and integrate systems to manage the full machine learning lifecycle.
• Work closely with data scientists and other teams to optimize training and serving of ML models & services.
• Build effective monitoring systems to keep track of the health of our systems, and alert us to take action before incidents occur.

You have:

• 4+ years of software  development experience 
• Excellent working knowledge of Python 3
• Some model-building experience is preferred, as it is very useful for understanding the problem space, and helping the science team with their tasks.
• Prior experience with ML engineering or MLOps-related topics is a plus.
• Bachelor's degree in Computer Science, mathematics or an engineering discipline
• Required to participate in on- call rotations as needed.
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 Benefits: 

• Health: medical, dental, vision and wellbeing.
• 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: 24/7 access to professional counselors, voluntary insurance coverage

Why you’ll love working here: 

As leaders in enterprise customer conversations, we celebrate diversity, empowering our team to forge impactful conversations globally. LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success. And, we're very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace. 

Belonging at LivePerson:

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 reasonable accommodation for any part of the application or hiring process should inform their recruiting contact upon initial connection.