Director of Engineering

LivePerson (Mannheim BW, Deutschland) Vor 20 Tagen veröffentlicht

LivePerson is a transformational force in how brands and consumers communicate. With over 18,000 brands, including Citi, 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

In this role you will:

  • Work across a team of  science, engineering and analyst contributors to define and deliver to a clear roadmap of products and services
  • Deliver machine-learned models into an at-scale production environment
  • The service, API, and open source ecosystem for creating systems that perform Natural Language Processing and Understanding (NLP/NLU)
  • Modern frameworks and tools for data management and processing (e.g. AWS Lambda, Apache Cassandra, Spark, etc.)
  • ML model management and evaluation best practices and leading technology

Your qualifications are:

  • 7+ years of professional experience leading application development teams
  • Deep understanding of software development in a team, and a track record of shipping great software on time
  • Proven ability to hire, retain and grow a team of extremely talented engineers & scientists
  • Experience in any programming language (Java, Javascript) and platform technologies (Kubernetes, Docker); scaling distributed cloud applications
  • Experience presenting technical information to executive audiences, peers, and non-technical stakeholder
  • Must have experience developing large scale distributed systems
  • You will be working closely with education scientists and domain experts. You must be able to think and act both strategically and tactically. 
  • MS, Ph.D. in Computer Science, Computer Engineering, etc.
  • Experience with component development for Data Sciences
  • Knowledge of ML fundamentals and standard packages
  • Excellent communication skills
  • Experience in presenting complex technical information in a clear and concise manner to a variety of audiences, both verbally and in writing
  • Experience mentoring and fostering technical excellence in a team

Why you’ll love working here:

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.

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