Staff AI Scientist
Orby
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:
About Uniphore:
Uniphore is The Business AI Company. We enable businesses to rapidly adopt, significantly transform, and immediately unlock value through AI, by providing a platform that allows business users to effortlessly harness agentic AI, tapping into enterprise knowledge that is grounded in their own proprietary data. We enable the Global top 1000 customers achieve their business outcomes through our core principles of providing composable, sovereign and secure AI.
Role Overview
We are seeking an experienced Staff AI Scientist to join our AI Science team, reporting to the Director of AI Science. This role offers the opportunity to work on AI technologies and contribute directly to enterprise use-cases of generative AI systems deployed at global scale.
Key Responsibilities
Design and develop agentic AI systems and retrieval-augmented generation (RAG) applications for large enterprises.
Research and implement methods for fine-tuning, alignment, and evaluation of AI agents and RAG systems.
Contribute to the development of our agentic platform, including context management, memory architectures, evaluation frameworks, and trust and safety mechanisms.
Conduct applied AI research by evaluating, adapting, and extending state-of-the-art open-source models.
Lead AI projects from research and prototyping through production deployment as part of a cross-functional teams including engineering, product management, and solutions engineering.
Qualifications
Master’s or Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
7+ years of industry experience in AI/ML for candidates with a Master’s degree, or 3+ years for Ph.D. candidates.
Competence in probability, statistics, linear algebra, and machine learning.
Expertise in Python and deep learning frameworks such as PyTorch or TensorFlow, with experience using modern ML tooling (e.g., Hugging Face, vLLM).
Experience building production-ready, scalable machine learning systems.
Deep understanding of modern AI techniques in areas such as NLP, multimodal AI, speech (ASR), or computer vision.
Strong publication record in top-tier conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, or AAAI is preferred.
Experience with model fine-tuning and reinforcement learning is a plus
Location preference:
Uniphore is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, disability, veteran status, and other protected characteristics.
For more information on how Uniphore uses AI to unify—and humanize—every enterprise experience, please visit www.uniphore.com.
