Machine Learning Research Manager

Machine Learning Research Manager

Miro is the online workspace for innovation, used by over 100 million people to build the next big thing. We are seeking a Research Manager to lead the team defining the "Intelligent Canvas." This role is for someone who wants to operate at the intersection of Vision, Language, and Graph Theory, working with unique spatial, unstructured, and human collaboration data. You will bridge open-ended research (LLMs, Diffusion Models, GNNs) with product impact, empowering teams to dream, design, and build faster.

This is a permanent, remote position open to candidates across EMEA, Denmark, and the UK.

About the Role

As a Research Manager, you will:

• Build and lead a world-class applied research team, hiring and mentoring researchers skilled in 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 to multi-format AI-powered generation.
• Pioneer research on unique spatial datasets, exploring massive multimodal and graph-based datasets to understand how teams organize information and collaborate.
• Drive "Research-to-Product" velocity by creating frameworks for rapidly testing and fine-tuning foundation models for specific domain tasks.
• Cultivate a culture of scientific rigor, encouraging the team to stay at the cutting edge while focusing on shipping user-delighting features.
• Partner with Engineering and Product Leadership to translate AI capabilities into intuitive solutions.
• Architect organizational processes for model governance, ensuring rigorous evaluation, reproducibility, and ethical AI practices.

Requirements

We are looking for candidates with:

• Proven technical leadership experience: 2+ years managing high-performing Applied Science or ML Engineering teams in a product-led tech company or top-tier research lab.
• Deep understanding of Multimodal & Generative AI: Expertise in the architecture of Transformers, Diffusion models, and Graph Neural Networks (GNNs), with experience in fine-tuning and RAG at scale.
• A "Product-First" mindset: Prioritization of user value and latency constraints in production over pure accuracy metrics.
• Curiosity for complex problems: Excitement for modeling abstract concepts like "collaboration" and quantifying qualitative outcomes.
• Strategic communication skills: Ability to articulate the difference between "hype" and "utility" to executive stakeholders and align research with long-term strategy.

Education + Experience:

• Option A: PhD in Computer Science, Statistics, Mathematics, or a related field, plus 2+ years of people management experience.
• Option B: Master’s degree or equivalent deep technical experience, plus 5+ years of industry experience in Machine Learning, including 2+ years of people management.

Bonus Points:

• A portfolio of research contributions, including publications in top-tier conferences or impactful technical blog posts.
• Familiarity with the modern MLOps stack and experience guiding teams in building research infrastructure.

What We Offer

Miro provides a global benefits package that generally includes:

• Equity
• A wellbeing benefit
• A work-from-home equipment allowance
• An annual Learning & Development stipend

Join a diverse team where you can do your best work. Full benefits may differ per location. You can learn more about location-specific benefits on our Global Miro benefits board.

About Miro

Miro is a visual workspace for innovation that enables distributed teams of any size to build the next big thing. Our platform's infinite canvas allows teams to lead engaging workshops, design products, brainstorm ideas, and more. Founded in 2011, Miro serves over 100 million users and 250,000 companies, with more than 1,600 employees across 13 global hubs.

We are a team of dreamers who look for individuals that dream big, work hard, and stay humble. Collaboration is at the heart of what we do, and we strive to create a supportive, welcoming, and innovative environment. We are committed to building a diverse and inclusive workplace where everyone can collaborate and embrace differences.