Job Description: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.
Model Optimization & SLMs - 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 enterprisegrade workloads.
- Contribute to model selection decisions (SLMs vs. larger models) based on usecase requirements and empirical evidence.
Applied EndtoEnd Delivery - Own bounded, endtoend 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 fulltime platform or infrastructure owner.
Technical Leadership - Act as the subject matter expert in strategic domains within the team.
- Help identify and drive strategic technical directions crucial for business growth.
- Mentor junior scientists on experimentation methodology, evaluation design, and practical GenAI system development.
- Influence roadmap and technical direction through evidencebacked recommendations.
We're Eager to Work with - 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.
Minimum Qualifications - Education: MS or PhD in Computer Science, Machine Learning, Operations Research, Statistics, or related fields
- Applied ML / GenAI Experience: 8+ 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
- Experience in leading strategic AI initiatives and derisking applied research execution
- Strong communication skills, verbal and written
Preferred Qualifications - Strong experience in model training, building autonomous agentic systems and agentic workflows, and rigorous evaluation of agentic systems
- Demonstrated track record of excellence (e.g., publications at top-tier peer-reviewed conferences or journals) or significant product impact with highly technical solutions, and desire to grow
- Experience at fast-growing companies or startups, or working in an agile environment
Benefits: In addition to competitive base pay, this position also includes an annual incentive opportunity based on target achievement, pre-IPO stock options, benefits including medical, dental, vision, 401(k) with a match, and more, plus generous paid time off, paid holidays, paid day off for your birthday and other paid leave policies to support employees through all phases of life.
Location preference:USA - WA - Remote
For more information on how Uniphore uses AI to unify-and humanize-every enterprise experience, please visit www.uniphore.com.
