Principal AI Engineer - Servicing Solutions
Goodleap- Full Time
- Expert & Leadership (9+ years)
Candidates should possess 8+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations, along with 3+ years of experience building machine learning models. Strong analytical and quantitative problem-solving skills are required, as well as expertise in distributed computing strategies within Azure, AWS, or GCP clusters. Experience with LLM technologies, including generative and embedding techniques, retrieval-augmented generation (RAG), fine-tuning, and evaluation benchmarks is also necessary.
As a Staff AI/ML Software Engineer, you will design and build scalable search ranking, indexing, and personalization systems, develop real-time and batch ML models using embeddings, collaborative filtering, and deep learning, integrate user behavior signals and content metadata to optimize relevance, collaborate cross-functionally with product, data, and infrastructure teams to deploy experiments and measure impact, optimize retrieval, filtering, and ranking algorithms in production search pipelines, and implement software that empowers internal customers to extend ServiceNow’s capabilities and find new ways to personalize experiences with AI/ML.
Cloud-based platform for digital workflows
ServiceNow offers a cloud-based platform that helps businesses automate and manage their operations, improving efficiency and enhancing customer and employee experiences. The Now Platform includes applications for IT operations, customer service, human resources, and security operations, all accessible over the internet. Targeting large enterprises across various industries, ServiceNow operates on a software-as-a-service (SaaS) model, generating revenue through subscription fees and professional services. The company's goal is to streamline business processes and drive digital transformation for its clients.