Staff AI Scientist

Business AI Engineer

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.

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!

• 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.
• 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 decision making.
• Finetune and adapt small and medium-sized foundation models using techniques such as PEFT, SFT, distillation, and reinforcement learning.
• Balance performance, latency, and cost for enterprise-grade workloads.
• Contribute to model selection decisions (SLMs vs. larger models) based on use-case requirements and empirical evidence.
• Own bounded, end-to-end AI workflows from problem framing through deployment where this accelerates impact.
• Partner with engineering teams on integration, monitoring, and lifecycle management.
• Contribute to production readiness without acting as a full-time platform or infrastructure owner.
• Act as a technical reference point for agentic AI best practices across the team.
• Mentor junior scientists on experimentation methodology, evaluation design, and practical GenAI system development.
• Influence roadmap and technical direction through evidence-backed recommendations.

• Those who want to join our mission to democratize AI to more business users.
• Individuals with an unwavering customer focus, committed to crafting experiences that delight.
• Those who embrace excellence and consistently deliver top-tier work.
• Innovators who thrive on creative thinking and daring to tread new paths.
• Owners at heart, ready to take responsibility and drive results.
• Individuals of the highest integrity, who foster trust and honesty.

• Education:
  
  MS or PhD in Computer Science, Machine Learning, Operations Research, Statistics, or related fields
• Applied ML / GenAI
  
  Experience:
  
  5+ years designing, building and iterating on ML systems, with hands-on experience using frontier models and open-source models.
• Experience in translating business impact into quantitative metrics and designing experiments and statistical analysis of results
• Experience in working with cross-functional teams to deliver ML capabilities in customer-facing products and maintaining ML quality
• Strong communication skills, verbal and written

• Strong…