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Senior Machine Learning Engineer
Pattern Bioscience. Own evaluation systems and model-side quality improvements for Pattern's generative content platform .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in evaluation systems and model-side quality improvements, with a strong foundation in statistics and machine learning. Capable of driving experiments and collaborating across teams to enhance AI-generated content for e-commerce applications.
Highest-signal resume keywords
Production Software Services OwnershipFormal Statistics TrainingMachine Learning ExperienceFine-Tuning ExperienceE-Commerce Domain Knowledge
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Code and System DesignMachine LearningStatistical AnalysisData EngineeringEvaluation System OwnershipA/B TestingDataset ManagementContent EvaluationGenerative Media ProductionNon-Deterministic Output Engineering
Soft Skills
CollaborationDecision-MakingCommunication
Tools & Technologies
Regression SuiteAutomated JudgesQuality GatesHybrid Work Environment
Industry Keywords
E-CommerceHuman-Labeling OperationsMultimodal EvaluationFine-TuningGenerative Content
About the role
Key responsibilities & impact- Own evaluation systems and model-side quality improvements for Pattern's generative content platform
- Build and maintain datasets, rubrics, and automated judges evaluating content-engine changes
- Convert brand rejection reasons into structured, labeled training data for model improvements
- Quantify qualitative improvements to generated content
- Decide and defend approval thresholds for generated content with data science and brand teams
- Build quality gates to catch problematic outputs before brand review and reduce rework
- Complete onboarding and contribute to an existing regression suite
- Own a defined slice of the evaluation system end to end
- Drive a fine-tuning or retrieval experiment from hypothesis to validated result
- Collaborate with brand, data science, engineering, and partner teams
- Work on AI-generated titles, bullets, A+ modules, and imagery across ecommerce listings
Requirements
What you’ll need- Strong code and system design experience in any language or stack
- 3+ years owning production software services end to end
- Formal statistics or machine learning training, or defensible equivalent depth built on the job
- Experience engineering systems with non-deterministic outputs, where correctness has to be measured rather than assumed
- Nice to have: Fine-tuning experience (LoRA/PEFT)
- Nice to have: Hands-on LLM or generative media production work
- Nice to have: Evaluation-system ownership
- Nice to have: Multimodal evaluation
- Nice to have: E-commerce domain knowledge
- Nice to have: Human-labeling operations
- Nice to have: A/B testing infrastructure
- Ability to work a hybrid schedule based in Lehi, Utah
Benefits
Comp & perks- Unlimited PTO
- Paid Holidays
- Onsite Fitness Center
- Company Paid Life Insurance
- Casual Dress Code
- Competitive Pay
- Health, Vision, and Dental Insurance
- 401(k) match: 100% of the first 3% in eligible compensation deferred and 50% of the next 2% in eligible compensation deferred
- Professional development
- Internal mobility
- Executive review and professional reference checks as part of the hiring process