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Senior Software Development Engineer (Machine learning)
Data Science
remote: Poland
added Tue Sep 19, 2023
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LivePerson (NASDAQ: LPSN) is a global leader in trustworthy and equal AI for business. Hundreds of the world’s leading brands — including HSBC, Chipotle, and Virgin Media — use our Conversational Cloud platform to engage with millions of consumers safely and responsibly. We power a billion conversational interactions every month, providing a uniquely rich data set and safety tools to unlock the power of Generative AI and Large Language Models for better business outcomes.

At LivePerson, we foster an inclusive workplace culture that encourages meaningful connection, collaboration, and innovation. Every mind is invited to ask questions and actively seek new ways to achieve success and reach their full potential. We operate as one with a growth mindset. This means spotting opportunities, solving ambiguities and seeking effective solutions to challenges that make things better.

Overview:

We are at the forefront of developing state-of-the-art Large Language Models (LLMs) for business. As a Software Engineer specialized in Large Language Models, you will be responsible for creating and maintaining robust systems that streamline the management of these models throughout their lifecycle. Your expertise will ensure the efficient fine-tuning of models, seamless model serving, and smooth integration into our core product.

You will:

  • Model Lifecycle Management: Design and implement systems to facilitate the end-to-end management of Large Language Models. This includes versioning, tracking changes, and ensuring proper documentation of model configurations and performance.
  • Model Fine-Tuning: Collaborate with NLP researchers and data scientists to implement fine-tuning pipelines that optimize model performance on specific tasks or domains. Enable efficient experimentation with different training data and hyperparameters.
  • Model Serving Infrastructure: Develop scalable and reliable infrastructure for serving LLMs in real-world applications. Ensure high availability, low latency, and effective resource allocation to handle production-level demands.
  • Application Integration: Design and build libraries and tools to help integrate LLMs into a variety of applications and services. Collaborate with application development teams to ensure smooth integration.
  • Continuous Integration and Deployment: Implement robust CI/CD pipelines for model deployment and updates. Automate testing and validation processes to maintain model accuracy and reliability in production environments.
  • Model Monitoring and Analytics: Develop monitoring solutions to track model performance, usage patterns, and potential issues. Utilize metrics and logs to identify opportunities for model improvement and optimize resource utilization.
  • Collaboration and Communication: Work closely with cross-functional teams, including NLP researchers, machine learning engineers, product managers, and DevOps, to align goals, exchange ideas, and deliver high-quality solutions.
  • Research and Innovation: Stay up-to-date with the latest advancements in NLP, model lifecycle management, and Large Language Models. Participate in research discussions and propose innovative approaches to improve model capabilities and management processes.

You have:

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
  • 5- 10 years of software development industry experience
  • Strong programming skills.
  • Experience with cloud platforms and containerization technologies (e.g., GCP, Docker, Kubernetes).
  • Excellent problem-solving skills and ability to thrive in a dynamic, fast-paced environment.
  • Strong communication and collaboration skills to work effectively in a team-oriented setting.

Preferred qualifications:

  • Familiarity with frameworks like PyTorch, HuggingFace Transformers and DeepSpeed. Experience with large-scale model training and optimization.
  • Solid understanding of NLP concepts and model architectures.
  • Contributions to open-source NLP or machine learning projects.
  • Prior experience with state-of-the-art Large Language Models, and their lifecycle management.

Benefits:

  • Health: medical, dental, and vision

  • Time away: vacation and holidays

  • Development: Native AI learning and Fast track growth opportunities

  • Equal opportunity employer

Why you’ll love working here:

LivePerson is a hub for the ever-curious and proactive, offering a flexible work-life balance tailored to individual needs. With offices and WeWork locations worldwide, our flexible work policy provides our teams the freedom to work from their preferred environment. 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.

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.