Senior AI Engineer

Thryv

Senior AI Engineer at Thryv developing advanced ML solutions for innovative product capabilities. Collaborate across teams and mentor junior engineers while ensuring model scalability and reliability.

Posted 5/6/2026full-timeRemote • Texas • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

CloudPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Research, design, develop, and implement advanced machine learning (ML) solutions
Ensure deployed models are scalable, reliable, and provide tangible value
Develop models to predict future trends, user behavior, and business outcomes
Create systems to categorize data, such as sentiment analysis of customer feedback or document classification
Build and fine-tune models capable of generating new content
Work with architectures like Transformers and Large Language Models
Perform data cleaning, preprocessing, and exploratory data analysis
Collaborate with various engineering teams to integrate AI solutions into products and platforms
Maintain a robust and performant 'feature store'
Utilize Infrastructure as Code (IaC) tools for deploying ML models into cloud-based environments
Incorporate services like speech-to-text and integrate NLP and GenAI capabilities
Prepare detailed reports and presentations on ML experiments
Provide guidance and mentorship to junior engineers

Requirements

What you’ll need

Bachelor’s or foreign equivalent degree in Computer Science, Computer Engineering, or a related field
5 years of progressive, post-baccalaureate experience in the job offered or as a Machine Learning Engineer, Data Scientist, Data Engineer, Software Engineer, or in a related/similar position
5 years of experience in neural networks, reinforcement learning algorithms
Use of automated pipelines to develop and deploy machine learning (ML) models
ML development framework including Tensorflow, PyTorch, or scikit-learn
Experience in implementing classical ML techniques for classification and prediction, including linear regressions and neural networks
In lieu of a Bachelor’s degree, a Master’s or foreign equivalent degree in the fields stated above and 3 years of experience in the skillsets stated above
1 year of experience in Large Language Models (LLM), including LLM tuning
RAG architecture, including vector databases, different clustering techniques, and reranking
Using Infrastructure as Code (IaC) tools and pipelines to deploy models.

Benefits

Comp & perks

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningneural networksreinforcement learningdata cleaningdata preprocessingexploratory data analysisclassificationpredictioncontent generationsentiment analysis

Soft Skills

collaborationmentorshipcommunicationreport preparationpresentation skills

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Computer EngineeringMaster’s degree in Computer ScienceMaster’s degree in Computer Engineering