[Hiring] Senior AI Engineer @Thryv

Role Description

Research, design, develop, and implement advanced machine learning (ML) solutions that drive innovation and enhance product capabilities. 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, such as text, code, or other media.
• Work with architectures like Transformers and Large Language Models, and both structured and unstructured data to extract meaningful insights.
• Perform data cleaning, preprocessing, and exploratory data analysis to identify patterns and correlations that can inform product strategy and business decisions.
• Work closely with various engineering teams to integrate AI solutions into company products and platforms.
• Collaborate on the development and maintenance of a robust and performant "feature store" (a centralized repository for features used in ML models) and take successful experimental models to full production.
• Utilize Infrastructure as Code (IaC) tools to automate the deployment of ML models into cloud-based production environments.
• Evaluate and integrate third-party ML services and tools into our existing data pipeline and product infrastructure.
• Incorporate services like speech-to-text for data aggregation and analysis and integrate third-party Natural Language Processing (NLP) and Generative AI (GenAI) capabilities to build sophisticated conversational agents (chatbots).
• Refine or maintain the existing third-party ML services we currently interface with, ensuring seamless integration, managing API connections, and optimizing the performance of these third-party services within our ecosystem.
• Prepare detailed reports and presentations on ML experiments, prototypes, and methodologies for model training, evaluation, deployment, and ongoing monitoring.
• Provide guidance and mentorship to junior engineers on programming best practices and advanced AI/ML techniques.

Qualifications

• 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.
• 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.
• Implementing classical ML techniques for classification and prediction, including linear regressions and neural networks.
• In lieu of a Bachelor’s degree and 5 years of progressive, post-baccalaureate experience, employer will accept 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.
• Experience with RAG architecture, including vector databases, different clustering techniques, and reranking.
• Using Infrastructure as Code (IaC) tools and pipelines to deploy models.

Requirements

• Telecommute role, may work remotely from anywhere in the US.

Company Description