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Senior Staff AI Scientist
UniphoreSenior Staff AI Scientist at Uniphore, building Business AI platform to democratize AI for business users. Designing advanced AI systems and leading strategic initiatives with extensive machine learning experience.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and implementing AI systems, with a focus on complex workflows and orchestration patterns. Proficient in leading experimentation, evaluation strategies, and adapting foundation models to drive business impact through quantitative metrics.
Highest-signal resume keywords
AI System DesignMachine Learning SystemsStatistical AnalysisCross-Functional Team LeadershipCommunication Skills
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningAI WorkflowsModel Fine-TuningExperiment DesignStatistical AnalysisEvaluation StrategiesBenchmark DevelopmentOrchestration PatternsFoundation ModelsQuantitative Metrics
Soft Skills
Strong Communication Skills
Tools & Technologies
Open-Source ModelsFrontier Models
Certifications & Qualifications
MS or PhD in Computer ScienceMachine LearningOperations ResearchStatistics
Industry Keywords
AI SystemsAgentic SystemsCustomer-Facing ProductsStrategic AI InitiativesApplied Research
About the role
Key responsibilities & impact- Design and implement AI systems capable of handling complex workflows
- Explore and apply various orchestration patterns and architectures
- Lead systematic experimentation across prompts, agents, model variants, and tool configurations
- Define and implement evaluation strategies for agentic systems
- Develop lightweight benchmarks, simulations, and offline/online evaluation loops
- Finetune and adapt small and medium-sized foundation models
- Own bounded, end-to-end AI workflows from problem framing through deployment
- Act as the subject matter expert in strategic domains within the team.
Requirements
What you’ll need- MS or PhD in Computer Science, Machine Learning, Operations Research, Statistics, or related fields
- 8+ years designing, building and iterating on ML systems
- Hands-on experience using frontier models and open-source models
- Experience in translating business impact into quantitative metrics
- Experience in designing experiments and statistical analysis of results
- Experience in working with cross-functional teams to deliver ML capabilities in customer-facing products
- Experience in leading strategic AI initiatives and derisking applied research execution
- Strong communication skills, verbal and written.
Benefits
Comp & perks- 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
- 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.