Career details

Job Overview
Date Posted
September 4, 2025
Expiration date
September 5, 2036
Location
Fully remote; no on-site presence required.
Offered Salary
$240,000 - $290,000 USD / year
Experience
12+ years in applied machine learning with production-scale personalization systems
Qualification
Master's degree or PhD in Computer Science, Machine Learning, or related field
Job Skills
Role Overview
Families use BackPR to make life-changing enrollment decisions. The Principal AI Personalization Architect ensures the recommendations that guide them are transparent, bias-aware, and aligned with district guardrails.
You will own the strategy and technical architecture for AI-driven experiences, collaborating with Data Science, Product, and Trust teams to launch models that are measurable, auditable, and fair.
What you will lead
- Define the personalization architecture across ranking, recommendation, and conversational guidance services.
- Champion responsible AI practices, including model cards, bias testing, and human-in-the-loop escalation paths.
- Partner with Platform Engineering to build scalable feature stores, experimentation frameworks, and monitoring pipelines.
- Mentor senior machine learning engineers and data scientists on production-grade MLOps patterns.
Experience that sets you up for success
- Proven leadership building personalization systems for high-volume SaaS products under regulatory oversight.
- Deep knowledge of recommender system algorithms, privacy-preserving machine learning, and applied NLP.
- Demonstrated ability to translate policy requirements into technical guardrails and governance workflows.
- Strong communication skills bridging executive stakeholders, educators, and engineering teams.
How we operate
- Remote-first squads with pairing sessions, written design reviews, and shared experimentation dashboards.
- Collaboration with Trust & Safety and Legal to document AI decision trails and approvals.
- Culture of rapid iteration grounded in A/B testing, causal inference, and qualitative user research.
Location & schedule
- Fully remote across the Americas and EMEA with daily overlap of at least four hours to Eastern Time.
- Virtual architecture forums, office hours, and pair programming blocks scheduled for global participation.
- Flexibility to adjust working hours around live launches, supported by follow-the-sun on-call rotations.
Compensation & benefits
- Base salary range: $240,000 - $290,000 USD with long-term incentives tied to responsible AI milestones.
- Comprehensive health coverage, mental wellness stipend, and global coworking credit for optional meetups.
- Equity refresh cadence aligned with product impact and principled AI deliveries.
- Annual budget for conferences, research partnerships, and academic collaborations.
Impact in the first year
- Launch of a personalization platform with auditable fairness reporting adopted across BackPR experiences.
- Reduction in bias variance metrics across priority cohorts while improving engagement conversion by 25%.
- Documented AI governance model endorsed by district stakeholders and independent advisors.
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