LRN

Director, AI & Data Science

LRN

full-time

Posted on:

Location Type: Remote

Location: United States

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Job Level

Lead

Tech Stack

JavaScriptNode.jsPythonPyTorchScikit-Learn

About the role

  • Define and lead the company’s applied AI strategy
  • Deliver scalable ML and LLM-powered solutions that drive measurable business impact
  • Partner closely with Product, Engineering, Security/Compliance, Sales, and Marketing to translate customer needs into production-ready AI capabilities
  • Coach and grow a small team
  • Architect end-to-end AI systems
  • Help the company communicate AI value credibly and responsibly to customers and stakeholders

Requirements

  • Proven ability to lead an applied AI team (player-coach) and drive delivery in a production environment
  • Strong end-to-end ML/AI engineering judgment: data, modeling, evaluation, deployment, monitoring, iteration
  • Practical experience with LLMs and modern AI tooling, including prompt/system design, retrieval (RAG), fine-tuning (when appropriate), and evaluation
  • Ability to translate ambiguous business problems into tractable AI work with clear scope, milestones, and measurable outcomes
  • Excellent communication: can explain complex trade-offs to technical and non-technical audiences
  • Experience collaborating with Sales/Marketing on customer-facing AI positioning and solutioning
  • PhD Plus 2 years industry experience/ Masters plus 4 years / bachelor's plus 6 years industry experience
  • Field of study computer science or at least 3 years as a software developer
  • Strong Python and modern ML stack (e.g., PyTorch / sklearn; data tooling; experimentation, vector databases)
  • Understanding of modern software development and technology practices like git, APIs, containerization, CI/CD
  • Experience with model evaluation, guardrails, observability
  • Understanding of responsible AI: privacy, security, governance, and risk controls—especially in regulated/enterprise contexts
  • Node.js and other backend development skills
  • Experience in B2B SaaS, compliance/ethics, risk, or enterprise workflows
  • Experience designing evaluation frameworks for LLM features (quality, hallucination risk, latency/cost trade-offs)
  • Prior customer-facing technical leadership (pre-sales, workshops, exec briefings)
Benefits
  • Flexible PTO plus US public holidays and Sick Time
  • Medical, Dental and Vision Benefits
  • Excellent 401K with employer match
  • Life Insurance, short-term and long-term disability benefits
  • Health & Wellness reimbursements
  • Health Saving & Flexible spending account
  • Employee Assistance Plan
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
applied AImachine learninglarge language modelsPythonPyTorchsklearnmodel evaluationcontainerizationCI/CDNode.js
Soft Skills
leadershipcommunicationcollaborationcoachingproblem-solvingtechnical explanationteam growthcustomer-facing skillsstrategic thinkingadaptability
Certifications
PhDMaster's degreeBachelor's degree