Senior Machine Learning Engineer

Liine•Raleigh, NC

1d•Hybrid

About The Position

Liine is a fast-growing software startup based in downtown Raleigh, NC. Our AI-powered call tracking, marketing analytics and ad optimization platform helps specialty healthcare and dental practices convert more new patient inquiries into appointments. With over $10M in ARR and winner of the 2026 Triangle Business Journal's 50 Best Places to Work, we are on our way to making Liine a core component of every healthcare practice's technology stack. To help continue scaling our award-winning SaaS platform, we are hiring a Senior 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 as helping to guide the strategic direction of the R&D team.

Requirements

3+ years of machine learning experience
Strong candidates should be comfortable with the following:
Having fun while solving hard problems
A high-output, high-excitement environment
Using AI tools as a core part of how you build. This is your default, not an experiment.
Proficiency in Python and key data science libraries (e.g., NumPy, Pandas, PyTorch)
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
Solving complex problems at scale
Meticulous attention to detail
Communicating honestly and transparently

Nice To Haves

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

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