Founding AI Safety Engineer – Diagnostics Platform

United States Digital Space LLC; United States; Remote; USD 150,000 - 200,000; Full time

Benefits offered by this job

Founding team equity

Job summary

United States Digital Space LLC is seeking a Founding Member of Technical Staff to shape core reasoning methodology for AI safety claims in medical diagnostics. You will own investigations across data, models, and representations, building infrastructure and front-end prototypes, writing production-quality Python, and driving end-to-end ownership as a founding team member.

Required strong ML, statistics, data science fundamentals, expert Python, and the ability to work on-site in Sunnyvale, CA

Qualifications

• Degree in CS, mathematics, physics, engineering, or a related quantitative field.
• Strong ML, statistics, and data science fundamentals; ability to understand the math behind methods, identify broken assumptions, and reason about trade-offs.
• Expert Python skills, spanning raw data analysis through to platform-level code others will rely on.
• Strong engineering judgment on code structure, interface boundaries, and reusability trade-offs.
• Demonstrated ability to operate as a founding-team-caliber contributor — taking end-to-end ownership and contributing across domains.
• Strong cross-functional communication skills; able to present evidence, claims, and validation results to both technical and non-technical stakeholders.
• Authorized to work in the United States without visa sponsorship; able to work on-site in Sunnyvale, CA.

Responsibilities

• Design and execute investigations into how AI models perform and fail across real-world scenarios.
• Analyze input data, model outputs, and internal representations to evaluate data quality, generalization limits, distribution shift, subgroup performance, and demographic bias.
• Surface failure modes and produce structured evidence that supports, challenges, or refines claims about model performance and safety.
• Develop and evolve the company's evidence methodology — defining how claims, arguments, and evidence should be structured for rigorous AI validation.
• Pressure-test assumptions, critique weak argument structures, and systematize repeated investigations into reusable methods, workflows, and platform primitives.
• Write production-quality Python, build agentic workflows for evidence investigation, and prototype front-end features using AI tooling.
• Contribute beyond your immediate technical domain — this is a founding role that requires ownership, versatility, and the willingness to challenge assumptions.

Skills

Machine Learning

Statistics

Data Science

Python

Education

CS/Math/Physics/Engineering degree

Tools

Python

Job description

United States Digital Space LLC is seeking a Founding Member of Technical Staff to shape core reasoning methodology for AI safety claims in medical diagnostics. You will own investigations across data, models, and representations, building infrastructure and front-end prototypes, writing production-quality Python, and driving end-to-end ownership as a founding team member.

Required strong ML, statistics, data science fundamentals, expert Python, and the ability to work on-site in Sunnyvale, CA