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Senior Applied AI/ML Scientist
Sprout Social, Inc.. Own end-to-end agent and agentic feature development, including requirements, success definitions, evaluations, guardrails, and tools .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI/ML evaluation and quality assurance, with a strong focus on model selection, A/B testing, and statistical analysis. Proficient in collaborating with cross-functional teams to translate technical insights into actionable strategies for product improvement.
Highest-signal resume keywords
Applied AI/ML ExperienceEvaluation Framework DesignA/B Testing and Statistical SkillsPython and ML Frameworks ProficiencySQL and Large Dataset Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI/ML EvaluationModel SelectionA/B TestingStatistical AnalysisPythonML FrameworksTransformersEmbeddingsSQLMeasurement Design
Soft Skills
CommunicationCollaborationJudgmentRelationship Building
Tools & Technologies
Eval ToolingMLOps PracticesObservability Tools
Industry Keywords
LLM SystemsAgentic SystemsQuality Bar DefinitionBias MitigationResponsible AI Practices
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Own end-to-end agent and agentic feature development, including requirements, success definitions, evaluations, guardrails, and tools
- Lead model selection, development, and validation
- Design and run A/B tests and other rigorous experiments to measure customer impact
- Set and evolve the quality bar across agents
- Partner with engineers building and operating agents and evaluation infrastructure
- Identify improvements to agent-platform capabilities, including prompt iteration, reusable judges, context-window management, tool use, and adoption of state-of-the-art models
- Communicate AI capabilities, limitations, and quality to product, design, engineering, and leadership
- Own evaluation and quality for agents and drive evidence-based model-selection and improvement decisions
- Contribute to the long-term AI quality and evaluation roadmap and guide evaluation best practices
- Build relationships with business-unit leaders, stakeholders, and executives
- Elevate technical excellence and stay current with state-of-the-art research
Requirements
What you’ll need- 5+ years of applied AI/ML experience with a strong track record in evaluation, measurement, and quality of shipped AI/ML or LLM systems
- Experience designing evaluation frameworks and building and calibrating reliable judges or automated evaluators for ML or LLM/agentic systems
- Strong judgment in model selection and validation
- Rigorous experimentation and statistical skills, including A/B testing, power analysis, and sound measurement design
- Foundational ML and modeling knowledge, including Python, common ML frameworks, transformers, and embeddings
- SQL proficiency and comfort with large datasets
- Ability to work closely with product, design, and engineering and translate technical quality questions into actionable terms
- Direct experience evaluating LLM-driven or agentic products in production preferred
- Experience defining quality bars or evaluation methodologies preferred
- Rapid prototyping with new AI/ML techniques preferred
- Familiarity with eval tooling, observability, and MLOps practices preferred
- Experience influencing product roadmaps with evidence about AI quality and feasibility preferred
- Awareness of model security, bias mitigation, and responsible-AI practices preferred
Benefits
Comp & perks- Premium BCBSIL medical, dental, and vision insurance for you and eligible dependents
- Full, free access to Modern Health, including coaching, therapy sessions, and digital wellness resources
- 401(k) plan with a 50% company match on the first 6% of contributions
- 100% employer-paid Life and Disability insurance
- Flexible PTO policy and company-wide Rest & Recharge days
- Up to 16 weeks of paid parental leave
- $1,000 USD annual Lifestyle Spending Account
- One-time $550 USD home office setup stipend
- Monthly $50 USD internet stipend
- 16 hours of paid volunteer time annually
- $100 annual charitable donation match
- Pre-tax commuter benefits
- Subsidized child/eldercare through Care.com
- Discounted pet insurance through Figo
- No-cost personalized financial wellness support through Your Money Line