[Remote] AI Solutions Engineer at Arize AI

Remote

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, AI & Machine Learning, SoftwareIndustries

Skills

Key technologies and capabilities for this role

AIMLGenAILLMData ScienceTechnical ConsultingProduct DemosCustomer Relationship ManagementBusiness Acumen

Questions & Answers

Common questions about this position

What prior experience is required for the AI Solutions Engineer role?

Previous experience working as a Data Scientist, Machine Learning Engineer, or as an Engineer working with ML models or GenAI applications in production is required.

What technical skills and frameworks are needed for this position?

Candidates need comfort working in public Cloud environments (AWS, Azure, GCP), knowledge of machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn, and knowledge of LLM/Agentic frameworks such as Llamaindex, LangGraph, and DSPy.

What is the team like at Arize AI?

The engineering team is composed of industry veterans who have built deep learning infrastructure, autonomous drones, ridesharing marketplaces, ad tech, and much more, building systems that interact with some of the most complex software ever deployed in production.

Is remote work an option for this role?

This information is not specified in the job description.

What qualities make a strong candidate for this position?

A strong candidate is client-obsessed with entrepreneurial tendencies, even if they don't check every requirement, and has an understanding of ML/DS concepts, model evaluation strategies, lifecycle, and engineering considerations.

Arize AI

AI observability and model evaluation platform

About Arize AI

Arize AI provides a platform focused on AI observability and evaluating language models. The platform allows companies to monitor, troubleshoot, and assess the performance of various machine learning models, including those used for natural language processing, computer vision, and recommendations. Users can access analytics and workflows that help identify and resolve issues within their AI systems, ensuring optimal performance. Key features include task-based evaluations for aspects like hallucination and relevance, as well as tools for visualizing query and knowledge base embeddings to enhance retrieval accuracy. Unlike many competitors, Arize AI specifically targets the needs of top AI companies, offering tailored solutions for continuous improvement of their models. The goal of Arize AI is to empower these companies to enhance their AI capabilities through effective monitoring and evaluation.

Berkeley, CaliforniaHeadquarters

2020Year Founded

$59.3MTotal Funding

SERIES_BCompany Stage

Data & Analytics, AI & Machine LearningIndustries

51-200Employees