{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Machine Learning Research Manager”, “description”: “
Requirements
- Proven track record of technical leadership: 2+ years managing high‑performing Applied Science or ML Engineering teams in a product‑led tech company or top‑tier research lab.
- Multimodal & GenAI Depth: Understanding of transformers, diffusion models, and graph neural networks; able to guide fine‑tuning and RAG at scale.
- Product‑first researcher: Prioritize user value and latency over pure accuracy metrics.
- Curiosity for the unsolved: Excitement for modeling collaborative behaviors and quantifying “good brainstorming.”
- Strategic communication: Articulate the difference between hype and utility to executive stakeholders and align research with product strategy.
- Option A: PhD in Computer Science/Statistics/Mathematics + 2+ years people‑management experience.
- Option B: Master’s or equivalent deep technical experience + 5+ years industry experience in ML, including 2+ years people‑management.
- (Desirable) Publications in top‑tier conferences (NeurIPS, ICLR, KDD) or impactful technical blogs.
- (Desirable) Familiarity with modern MLOps stack and experience building research infrastructure.
What the job involves
- Miro is the online workspace for innovation, used by 100M+ people. The Research Manager leads the team defining the brain behind the “Intelligent Canvas.”
- Not a standard GenAI or recommendation engine. Lead a team at the intersection of vision, language, and graph theory, working with spatial, unstructured, and deeply human collaboration data.
- Bridge open‑ended research (LLMs, diffusion models, GNNs) and product impact, empowering teams to dream, design, and build faster.
- Build and lead a world‑class applied research team, hiring and mentoring researchers who excel at deep learning theory and production engineering.
- Define the research roadmap for the “Intelligent Canvas,” identifying opportunities to model complex user behaviors—including multi‑user collaboration on an infinite canvas and multi‑format AI‑powered generation (slide deck, technical diagram, web app prototypes).
- Lead research on unique spatial datasets, exploring multimodal and graph‑based data to uncover how teams organize information and collaborate to solve complex multi‑modal problems.
- Drive the research‑to‑product velocity, creating a framework for rapidly testing foundation models (GPT‑4, Llama, Stable Diffusion) and fine‑tuning them for domain tasks (prototype, diagram, mindmap generation).
- Cultivate a culture of scientific rigor, staying current with NeurIPS, CVPR while focusing on shipping features that delight users.
- Partner with Engineering and Product Leadership to translate AI capabilities into intuitive solutions that feel like magic.
- Architect organizational processes for model governance, ensuring rigorous evaluation, reproducibility, and ethical AI practices.
Company: Deepstreamtech
Location: London
Job Description:
Requirements
- Proven track record of technical leadership: 2+ years managing high‑performing Applied Science or ML Engineering teams in a product‑led tech company or top‑tier research lab.
- Multimodal & GenAI Depth: Understanding of transformers, diffusion models, and graph neural networks; able to guide fine‑tuning and RAG at scale.
- Product‑first researcher: Prioritize user value and latency over pure accuracy metrics.
- Curiosity for the unsolved: Excitement for modeling collaborative behaviors and quantifying “good brainstorming.”
- Strategic communication: Articulate the difference between hype and utility to executive stakeholders and align research with product strategy.
- Option A: PhD in Computer Science/Statistics/Mathematics + 2+ years people‑management experience.
- Option B: Master’s or equivalent deep technical experience + 5+ years industry experience in ML, including 2+ years people‑management.
- (Desirable) Publications in top‑tier conferences (NeurIPS, ICLR, KDD) or impactful technical blogs.
- (Desirable) Familiarity with modern MLOps stack and experience building research infrastructure.
What the job involves
- Miro is the online workspace for innovation, used by 100M+ people. The Research Manager leads the team defining the brain behind the “Intelligent Canvas.”
- Not a standard GenAI or recommendation engine. Lead a team at the intersection of vision, language, and graph theory, working with spatial, unstructured, and deeply human collaboration data.
- Bridge open‑ended research (LLMs, diffusion models, GNNs) and product impact, empowering teams to dream, design, and build faster.
- Build and lead a world‑class applied research team, hiring and mentoring researchers who excel at deep learning theory and production engineering.
- Define the research roadmap for the “Intelligent Canvas,” identifying opportunities to model complex user behaviors—including multi‑user collaboration on an infinite canvas and multi‑format AI‑powered generation (slide deck, technical diagram, web app prototypes).
- Lead research on unique spatial datasets, exploring multimodal and graph‑based data to uncover how teams organize information and collaborate to solve complex multi‑modal problems.
- Drive the research‑to‑product velocity, creating a framework for rapidly testing foundation models (GPT‑4, Llama, Stable Diffusion) and fine‑tuning them for domain tasks (prototype, diagram, mindmap generation).
- Cultivate a culture of scientific rigor, staying current with NeurIPS, CVPR while focusing on shipping features that delight users.
- Partner with Engineering and Product Leadership to translate AI capabilities into intuitive solutions that feel like magic.
- Architect organizational processes for model governance, ensuring rigorous evaluation, reproducibility, and ethical AI practices.
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Posted: May 18th, 2026