Senior Machine Learning Engineer

Raleigh, NC

To keep up with our growth, we are hiring a Machine Learning Engineer to help us expand and scale our data analytics and marketing analytics platforms. The ideal candidate for this role will excel at tackling complex open-ended problems and working in a fast-paced environment, as well helping to guide the strategic direction of the R&D team.

While we are considering stellar remote candidates, this is a hybrid role . We work from our downtown Raleigh office on Mondays, Wednesdays and Fridays, with the option to work remotely on Tuesdays and Thursdays.

A few of our perks and benefits include:

  • Competitive salary with generous equity package
  • 4% 401K contribution match
  • Health, dental and vision insurance
  • Short and long-term disability insurance
  • Unlimited PTO

Responsibilities

  • Research, develop, evaluate, deploy, and monitor scalable ML platforms and pipelines
  • Build and maintain NLP systems, including training and fine-tuning language models, entity resolution tools and LLM-based classification systems
  • Review code and promote software development best practices operating inside of Liine’s standard SDLC
  • Integrate and update backend APIs, microservices and data pipelines to connect to our ML platforms
  • Provide thoughtful input on machine learning strategy, model architecture, and the evolution of our ML systems and team practices.
  • Collaborate with engineering and product to deliver machine learning features that create real value

Requirements

  • 3+ years of machine learning experience
  • Proficiency in Python and key data science libraries (e.g., NumPy, Pandas, PyTorch)

Experience with the following:

  • Prototyping solutions to novel, open-ended problems and transforming them into reliable solutions
  • Deploying machine learning models into production environments (MLOps / ModelOps)
  • Feature engineering, feature selection, and model architecture design
  • Working with large distributed systems and data pipelines
  • A high-output, high-excitement environment
  • Using AI tools as a core part of how you build. This is your default, not an experiment.
  • Solving complex problems at scale
  • Meticulous attention to detail
  • Communicating honestly and transparently

Extra credit for experience working with:

  • Model interpretability and explainable AI
  • Fine-tuning and deploying Large Language Models (LLMs) to production
  • Audio and multi-modal model development
  • HIPAA compliance
Posted 2026-03-18

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