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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 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 the role
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 decision making.
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 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 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: 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
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:
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.
Skills Required
- MS or PhD in Computer Science Machine Learning Operations Research Statistics or related field
- 5+ years designing building and iterating on ML systems with hands-on experience using frontier and open-source models
- Experience translating business impact into quantitative metrics and designing experiments and statistical analyses
- Experience working with cross-functional teams to deliver ML capabilities in customer-facing products and maintain ML quality
- Strong verbal and written communication skills
- Experience in model training building autonomous agentic systems and agentic workflows and rigorous evaluation of agentic systems
- Publications at top-tier peer-reviewed conferences or significant product impact from technical solutions
- Experience at fast-growing companies or startups or working in an agile environment
Uniphore Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Uniphore and has not been reviewed or approved by Uniphore.
- Healthcare Strength—Health coverage includes medical dental vision mental‑health resources and wellness programs with multiple plan options (including HSA/FSA) indicating robust depth. Plan quality and affordability are highlighted relative to peers.
- Leave & Time Off Breadth—Time off includes generous PTO paid holidays and a paid birthday day off. Enhanced parental caregiver and bereavement leave extend coverage beyond standard policies.
- Retirement Support—Retirement offerings include a U.S. 401(k) with company match and pension/retirement plans with employer contributions in many countries. These programs support longer‑term financial security alongside core pay.
Uniphore Insights
What We Do
The Business AI Cloud is the only sovereign composable and secure AI platform that enables businesses to rapidly adopt significantly transform and immediately unlock the value of their data. Trusted by more than 2500 of the world’s largest enterprises and recognized by Gartner Forrester IDC and the Deloitte Fast 500 Uniphore is where enterprise AI moves from ambitions to production.A Complete Composable PlatformUniphore is designed to be:Sovereign — run on any public cloud private cloud or on-premises with full control over your data and AI models.Composable — choose your layer model or component—vector DBs knowledge graphs data compute and beyond.Secure — embedded guardrails observability and AI security ensure trusted compliant and enterprise-grade protection.Trusted at ScaleOver 2000 global businesses — including many of the Fortune 500 — rely on Uniphore every day to drive growth improve efficiency and deliver personalized customer experiences. Customers include leaders across industries like Skechers LastPass Atlassian HP Allstate Sony and more.Industry RecognitionNamed to Inc.'s Best in Business ListListed on the Deloitte Technology Fast 500Recognized in reports by Gartner Forrester and IDCFrom Pilot to ProductionThrough strategic collaborations with industry leaders like KPMG Cognizant Rackspace Databricks and Snowflake Uniphore helps organizations move beyond experimental AI pilots to production-grade deployment — operationalizing AI agents across internal and client-facing workflows at scale.
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