LRN

LRN

LRN is a global company that provides ethics and compliance program solutions to organizations worldwide. They offer values-based education, advisory services, and integrated solutions to help foster ethical cultures and principled performance in busin...

Professional Services
251-1K
Founded 1994
$30M raised

Description

  • Lead and grow the AI & Data Science function, including mentoring team members, guiding hiring, prioritization, and delivery.
  • Define technical strategy and standards for AI architecture, tooling, evaluation, deployment, and monitoring.
  • Build and ship end-to-end AI capabilities from problem framing and data preparation through modeling, evaluation, deployment, and monitoring.
  • Partner with Product and Engineering to integrate AI into workflows and product experiences.
  • Work with Security, Privacy, and Legal to ensure responsible AI use and compliance.
  • Support Sales and Marketing with AI narratives, customer discussions, solutioning, and technical validation.
  • Define success metrics, run experiments, and communicate results, trade-offs, and impact to executives and stakeholders.
  • Coach the team and act as a hands-on technical leader across AI system design and delivery.

Requirements

  • PhD with 2+ years of industry experience, Master’s with 4+ years, or Bachelor’s with 6+ years of industry experience.
  • Field of study in computer science or at least 3 years of experience as a software developer.
  • Proven ability to lead an applied AI team in a production environment.
  • Strong end-to-end ML/AI engineering judgment across data, modeling, evaluation, deployment, monitoring, and iteration.
  • Practical experience with LLMs and modern AI tooling, including prompt/system design, retrieval (RAG), fine-tuning, and evaluation.
  • Strong Python skills and experience with modern ML stacks such as PyTorch, scikit-learn, data tooling, experimentation, and vector databases.
  • Understanding of modern software development practices such as git, APIs, containerization, and CI/CD.
  • Experience with model evaluation, guardrails, and observability.
  • Understanding of responsible AI, including privacy, security, governance, and risk controls in regulated or enterprise contexts.
  • Node.js and other backend development skills are preferred.
  • Experience in B2B SaaS, compliance/ethics, risk, or enterprise workflows is preferred.
  • Experience designing evaluation frameworks for LLM features, including quality, hallucination risk, and latency/cost trade-offs is preferred.
  • Prior customer-facing technical leadership experience, such as pre-sales, workshops, or executive briefings, is preferred.

Benefits

  • Excellent medical benefits.
  • Paid Time Off (PTO).
  • Public holidays off.
  • Remote work across the UK, US, or India with 4-6 hours of overlap with the US East Coast.

Interested in this position?

Apply directly on the company website

Apply Now

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