Senior Machine Learning Engineer
Job Overview
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, dental and veterinary practices convert more new patient inquiries into booked 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.
More about Liine (click links to view):
Read our case studies
Read our customer reviews
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Liine named as a Call Recording FrontRunner by SoftwareAdvice
Liine named to Capterra's Shortlist for Call Recording
Liine named an AI "Category Leader" by GetApp
Liine Glassdoor Reviews
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.
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
Qualifications:
3+ years of machine learning experience
Strong candidates should be comfortable with the following:
Having fun while solving hard problems
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
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
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
Lots of room for career advancement
Additional Information:
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.
We’re building something special and are looking for great people to join our team!