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LivePerson

Data Scientist II

Posted Yesterday
Easy Apply
Remote
Hiring Remotely in USA
120K-145K Annually
Mid level
Easy Apply
Remote
Hiring Remotely in USA
120K-145K Annually
Mid level
The Data Scientist II at LivePerson focuses on advancing Conversational AI through research and experimentation with Large Language Models (LLMs), developing effective prompting strategies, optimizing LLM pipelines, and collaborating with cross-functional teams to enhance product strategies.
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Location: USA Remote Status: Fully Remote (#LI-Remote)

LivePerson (NASDAQ: LPSN) is a leader in trusted enterprise conversational AI and digital transformation. The world's leading brands use our award-winning Conversational Cloud platform to connect with millions of consumers. We power nearly a billion conversational interactions every month, providing uniquely rich data analytics and safety tools to unlock the power of conversational AI for better business outcomes. Fast Company named LivePerson the #1 Most Innovative AI Company in the world.

Position Overview

At LivePerson, the Data Scientist II helps advance Conversational AI by applying research and experimentation with Large Language Models (LLMs) to real-world customer interactions. This role designs and executes applied research initiatives, develops effective prompting and orchestration strategies using deep knowledge of transformer architectures, and optimizes modern LLM inference and retrieval pipelines. The scientist analyzes large-scale conversational datasets to improve Retrieval-Augmented Generation (RAG) systems and builds robust experimentation frameworks for evaluating non-deterministic model outputs. Working closely with other scientists and cross-functional teams, this role translates insights on model behavior into recommendations that inform product and business strategy while staying at the forefront of Generative AI advancements.

You Will: Key Responsibilities & Impact
  • Propose, plan, and execute applied research initiatives that will make a real-world impact on Conversational AI using Large Language Models (LLMs) within a commercial setting. 
  • Use expert knowledge of Transformer architecture mechanics (Attention, Tokenization, Embeddings) to consistently find the most effective, efficient, stable, explainable, and elegant prompting and orchestration approaches. 
  • Utilize modern LLM inference and retrieval pipelines. 
  • Analyze large scale conversational datasets for RAG (Retrieval-Augmented Generation) optimization. 
  • Bring research-inspired prompt strategies to life within production systems. 
  • Create durable, flexible scientific evaluation and experimentation capabilities for non-deterministic model outputs. 
  • Present findings on model behavior and context efficacy in ways that inform and guide business and product strategy. 
  • Work closely with other scientists. 
  • Stay current with the rapidly evolving state of Generative AI.
You Have: Required Skills & Qualifications

Requires a Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, Operations Research, Industrial Engineering, or a directly related field plus two (2) years of experience as a data scientist.

Must have two (2) years of experience in the following (experience may be gained concurrently):
  • Programming experience in Python
  • Developing and designing Large Language Model (LLM) interaction flows, evaluation frameworks, or advanced prompting strategies
  • Partnering with engineering teams to deploy GenAI/LLM solutions into production
Must have one (1) year of experience in the following (experience may be gained concurrently):
  • Experience with Generative AI, including Large Language Models, Prompt Engineering, Retrieval Augmented
  • Generation (RAG), and Semantic Search/Vector Databases
  • Researching and implementing advanced prompting techniques, such as Chain-of-Thought or Few-Shot prompting
  • Experience with dialogue systems and context management
  • Hands on experience with LLM Orchestration Frameworks, such as LangChain / LangGraph
  • Experience with Transformer architectures, specifically understanding Attention mechanisms, Context Windows, and Tokenization constraints
  • Experience with SQL

The salary range for this role will be between $120,000 to $145,000 USD. Final compensation will be determined by a variety of factors, including, but not limited to your location, skills, experience, education, and/or professional certifications.

Our Benefits & Perks

We are committed to supporting the complete well-being, health, financial security, family, and professional growth of our permanent employees.

πŸ₯ Health & Wellbeing
  • Medical, Dental, and Vision Insurance: Comprehensive plans to support your health needs.

Wellness Resources: Access to wellbeing resources and programs including our EAP plan.Health & Mental Support: Access a confidential and free Employee Assistance Program (EAP), providing professional counseling.

πŸ’° Financial Security & Growth
  • 401(k) Retirement Plan: To help you plan for your financial future by offering both the plan and a 4% employer match (100% match on the first 3% contribution and 50% match on the next 2% contribution)

HSA & FSA Plans:  To help you plan for health related expenses on a pre-tax basis

  • Employee Stock Purchase Program (ESPP): Participate and receive a discount on company shares, allowing you to directly share in LivePerson's success and growth.
  • Additional Insurances: Basic and supplemental  life insurance,  Accidental Death & Dismemberment (AD&D) insurance, long-term and short-term disability insurance coverage, legal plan, identity theft protection plan, and critical illness supplemental insurance.
  • Development: Access to internal professional development resources.
πŸ‘¨β€πŸ‘©β€πŸ‘§β€πŸ‘¦ Time Away & Family Support
  • Flexible Paid Time Off (PTO): Discretionary PTO package for flexible days off with manager approval.
  • Paid Public Holidays.
  • Generous Parental Leave Policy: Including maternity/paternity support and fertility services.
πŸ’» Workplace Flexibility
  • Remote-First Model: This role is fully remote (#LI-Remote), offering excellent work-life balance and flexibility. We also maintain dedicated WeWork space for those who wish to meet colleagues or collaborate in person.
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. We're very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace, and recognized by Gartner as a leader in the Conversational AI space.

Belonging at LivePerson: Equal Opportunity Employer

We are committed to fostering an inclusive workplace and are proud to be an Equal Opportunity Employer (EOE). We believe that diverse perspectives drive innovation. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristics protected by US Federal, State, or Local law.

Accessibility Commitment

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

Important Candidate Notice

The talent acquisition team at LivePerson has recently been notified of a phishing scam targeting candidates applying for our open roles. Scammers have been posing as hiring managers and recruiters in an effort to access candidates' personal and financial information. The phishing scam is not isolated to only LivePerson and has been documented in news articles and media outlets.

Please note that any communication from our hiring teams at LivePerson regarding a job opportunity will only be made by a LivePerson employee with an @liveperson.com email address. LivePerson does not ask for personal or financial information as part of our interview process, including but not limited to your social security number, online account passwords, credit card numbers, passport information, and other related banking information. If you have any questions and or concerns, please feel free to contact [email protected]


 

Top Skills

Large Language Models
Python
SQL
Transformer Architectures

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