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 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.

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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
• 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

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:

Candidates who can work out of our downtown Raleigh office are preferred, but we will also consider exceptional remote applications. 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!