Senior ML Engineer - NLP & Production ML, Hybrid

Liine; North Carolina; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity package

401K match

Health insurance

Dental insurance

Vision insurance

Disability insurance

Unlimited PTO

Career advancement

Job summary

Liine, a fast-growing software startup in downtown Raleigh, NC, is seeking a Senior Machine Learning Engineer to scale data analytics and marketing analytics platforms. You will tackle open-ended problems in a fast-paced environment and help set R&D direction.

The role focuses on research, development, deployment, and operation of scalable ML systems, including NLP, LLM-based classification, and production-grade ML pipelines, collaborating with product and engineering teams.

Qualifications

• 3+ years of machine learning experience.

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 Liine's standard SDLC.
• Integrate and update backend APIs, microservices and data pipelines to connect to our ML platforms.
• Provide 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.

Skills

Python

NumPy

Pandas

PyTorch

NLP

ML engineering

Distributed systems

MLOps

Model architecture

Feature engineering

LLMs

Experimentation

Tools

PyTorch

NumPy

Pandas

Job description

Liine, a fast-growing software startup in downtown Raleigh, NC, is seeking a Senior Machine Learning Engineer to scale data analytics and marketing analytics platforms. You will tackle open-ended problems in a fast-paced environment and help set R&D direction.

The role focuses on research, development, deployment, and operation of scalable ML systems, including NLP, LLM-based classification, and production-grade ML pipelines, collaborating with product and engineering teams.