Miro

Machine Learning Research Manager

Miro

full-time

Posted on:

Location Type: Remote

Location: Denmark

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About the role

  • Build and lead a world-class applied research team, hiring and mentoring researchers who excel at the intersection of deep learning theory and production engineering.
  • Define the research roadmap to support the 'Intelligent Canvas,' identifying opportunities to model complex user behaviors—from multi-user collaboration on an infinite canvas, to multi-format AI-powered generation (e.g. slide deck, technical diagram, web app prototypes, etc.), and more.
  • Pioneer research on unique spatial datasets. Unlike standard text/image corpuses, you will explore massive multimodal and graph-based datasets, uncovering how teams organize information spatially and collaborate together to solve complex multi-modal problems.
  • Drive the 'Research-to-Product' velocity. You will create the framework for rapidly testing foundation models (e.g., GPT-4, Llama, Stable Diffusion) and fine-tuning them for specific domain tasks (e.g. prototype generation, diagram generation, mindmap generation).
  • Cultivate a culture of scientific rigor. Encourage the team to stay at the cutting edge (NeurIPS, CVPR) while maintaining a relentless focus on shipping features that delight users.
  • Partner with Engineering & Product Leadership to translate abstract AI capabilities into intuitive solutions that feel like magic to our users.
  • Architect organizational processes for model governance, ensuring rigorous evaluation frameworks, reproducibility, and ethical AI practices.

Requirements

  • Proven track record of technical leadership: 2+ years of experience managing high-performing Applied Science or ML Engineering teams in a product-led tech company or top-tier research lab.
  • Multimodal & GenAI Depth: You don't just use APIs; you understand the architecture of Transformers, Diffusion models, and Graph Neural Networks (GNNs). You can guide a team through the complexities of fine-tuning and RAG at scale.
  • A 'Product-First' Researcher: You understand that accuracy metrics (F1, AUC) are proxies, not goals. You prioritize user value and latency constraints in production.
  • Curiosity for the 'Unsolved': You are excited by the ambiguity of modeling 'collaboration.' How do you quantify a 'good brainstorm'? How do you autocomplete a flowchart?
  • Strategic Communication: You can articulate the difference between 'hype' and 'utility' to executive stakeholders and align research efforts with Miro’s long-term strategy.
Benefits
  • Competitive equity package
  • Health insurance for you and your family
  • Corporate pension plan
  • Lunch, snacks and drinks provided in the office
  • Wellbeing benefit and WFH equipment allowance
  • Annual learning and development allowance to grow your skills and career
  • Opportunity to work for a globally diverse team
Applicant Tracking System Keywords

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

Hard Skills & Tools
deep learningTransformersDiffusion modelsGraph Neural Networksfine-tuningprototypingmodel governanceevaluation frameworksmultimodal datasetsAI-powered generation
Soft Skills
technical leadershipmentoringstrategic communicationcuriositycollaborationscientific rigoruser value prioritizationproblem-solvingteam guidanceadaptability