Senior Staff AI Scientist - Uniphore

Uniphore is one of the largest B2B AI-native companies—decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments. Uniphore infuses AI into every part of the enterprise that impacts the customer. We deliver the only multimodal architecture centered on customers that combines Generative AI, Knowledge AI, Emotion AI, workflow automation and a co-pilot to guide you. We understand better than anyone how to capture voice, video and text and how to analyze all types of data. As AI becomes more powerful, every part of the enterprise that impacts the customer will be disrupted. We believe the future will run on the connective tissue between people, machines and data: all in the service of creating the most human processes and experiences for customers and employees.

Job Description:

Uniphore is one of the largest B2B AI-native companies—decades-proven, built-for-scale and designed for the enterprise. The company drives business outcomes, across multiple industry verticals, and enables the largest global deployments.

Uniphore is building the world’s best-in-class Business AI platform to enable business users to leverage the advances of artificial intelligence to solve problems in their specific business processes. Uniphore provides a composable, sovereign, and secure solution to business users, and drives AI adoption in organizations with innovative solutions to building, serving, and optimizing these AI solutions.

Location: Palo Alto, CA

You will be working on developing new foundational machine learning technology behind a category-defining product – Business AI will democratize the benefits of cutting-edge machine intelligence at scale to more customers. If you are ready to take on the challenge of building the foundation model that enables a wide suite of capabilities around AI agent optimization, training of small and efficient foundation models, human-AI interaction, and agentic evaluation, etc., come join us!

Responsibilities

AI System Design & Implementation

Design and implement AI systems capable of handling complex workflows, including multi-step reasoning, planning, and decision making.

Explore and apply various orchestration patterns and architectures to solve business problems effectively.

Translate abstract requirements into reliable AI behaviors under real operational constraints such as latency, cost, and safety.

Experimentation & Evaluation

Lead systematic experimentation across prompts, agents, model variants, and tool configurations.

Define and implement evaluation strategies for agentic systems, including task success, robustness, failure recovery, and hallucination analysis.

Develop lightweight benchmarks, simulations, and offline/online evaluation loops to guide rapid iteration and decisionmaking.