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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong engineering and architectural judgment while designing reliable software abstractions and data structures for reasoning workflows. Capable of conducting rigorous analysis and experimentation to improve systems and validate outcomes in scientific R&D and commercial strategy.
Highest-signal resume keywords
Python ProgrammingData AnalysisModel API ExperienceSoftware Design and ArchitectureExperimental Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Quantitative AnalysisCode DebuggingSoftware Abstraction DesignData Structure DevelopmentSystem IntegrationModel EvaluationReasoning Workflow DevelopmentFailure InspectionExperimentationCoding Assistant Utilization
Soft Skills
Clear CommunicationCuriosityRigorous ThinkingProblem DecompositionCollaboration
Industry Keywords
Scientific R&DCommercial StrategyAgent EnvironmentsLanguage ModelsUsable SoftwareExtensible SoftwareAmbiguous Problem SolvingEvidence-Based Decision MakingTechnical ExplanationUser-Centric Design
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Understand decisions users and domain experts need to make in scientific R&D and commercial strategy
- Identify objectives, constraints, available evidence, and important unknowns
- Define and measure good reasoning using example inspection, expert judgment, and quantitative analysis
- Build evaluations for underspecified problems and validate that scores reflect meaningful improvements
- Investigate model and agent failures and turn observations into testable hypotheses
- Experiment with problem decomposition, context, tools, information-seeking, and self-checking approaches
- Design agent environments and representations for problems, evidence, assumptions, and unresolved questions
- Design reliable software abstractions, data structures, and component boundaries for reasoning workflows and evaluations
- Balance simplicity, flexibility, reliability, latency, and cost
- Write maintainable code and participate in design and code reviews
- Test, monitor, diagnose, and integrate systems into the product
- Collaborate with engineers, product, design, and domain experts
- Take problems from investigation and experimental design through implementation and product use
- Improve systems built around existing frontier models, with training or finetuning where useful
Requirements
What you’ll need- Rigorous thinking about ambiguous problems, including identifying hidden assumptions and weighing conflicting evidence
- Curiosity across domains and ability to learn unfamiliar subjects
- Clear communication with people of different expertise
- Ability to devise useful experiments without established benchmarks
- Ability to inspect failures in detail and distinguish evidence from noise
- Ability to independently write and debug code
- Experience working with data and model APIs
- Comfortable with Python or a comparable programming language
- Practical familiarity with language models and their capabilities and limitations
- Strong engineering and architectural judgment
- Experience building understandable, usable, and extensible software
- Effective use of coding assistants while verifying the resulting design and code
- Evidence through substantial projects, thoughtful experiments, and clear technical explanations
- Ability to travel for quarterly retreats and in-person coworking events
- Role optimized for candidates contributing at senior L4 level or above
Benefits
Comp & perks- Flexible work environment with office or remote work
- Quarterly team retreats and coworking events
- Fully covered health, dental, vision, and life insurance for the employee
- Generous family insurance coverage
- FSA/HSA
- Flexible vacation policy with a minimum recommendation of 20 days/year
- Company holidays
- $200 monthly wellbeing stipend
- 401K with a 6% employer match
- New Mac and $1,000 workstation/home office budget in the first year
- $500 workstation/home office budget every year thereafter
- $1,000 quarterly AI Experimentation & Learning budget
- Team administrative assistant for personal and work tasks
- Above-market equity with employee-friendly equity terms
