Machine Learning Research Manager (AI)

TL;DR

Machine Learning Research Manager (AI): Building and leading an applied research team to define the "Intelligent Canvas" by pioneering research on unique spatial, multimodal, and graph-based collaboration data with an accent on bridging open-ended research (LLMs, Diffusion Models, GNNs) with product impact. Focus on rapidly testing and fine-tuning foundation models for specific domain tasks and cultivating scientific rigor.

Location: Multi Location: Amsterdam / Berlin / Yerevan / London

Company

hirify.global is a visual workspace for innovation that enables distributed teams of any size to build the next big thing, serving over 100M users and 250,000 companies.

What you will do

• Build and lead a world-class applied research team.
• Define the research roadmap to support the "Intelligent Canvas."
• Pioneer research on unique spatial, multimodal, and graph-based datasets.
• Drive "Research-to-Product" velocity by rapidly testing and fine-tuning foundation models for specific domain tasks.
• Cultivate a culture of scientific rigor and partner with Engineering & Product Leadership to translate AI capabilities into intuitive solutions.
• Architect organizational processes for model governance, ensuring rigorous evaluation, 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: Understand the architecture of Transformers, Diffusion models, and Graph Neural Networks (GNNs), and can guide a team through fine-tuning and RAG at scale.
• A "Product-First" Researcher: Prioritize user value and latency constraints in production over just accuracy metrics.
• Curiosity for the "Unsolved": Excited by the ambiguity of modeling collaboration and complex spatial problems.
• Strategic Communication: Ability to articulate the difference between "hype" and "utility" to executive stakeholders and align research efforts with long-term strategy.
• Option A: PhD in Computer Science, Statistics, Mathematics, or related field + 2+ years of people management experience.
• Option B: Master’s degree or equivalent deep technical experience + 5+ years of industry experience in ML, including 2+ years of people management.
• English: B2 required.

Nice to have

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

Culture & Benefits

• Competitive equity package.
• Health insurance for you and your family (London only).
• Corporate pension plan (London only).
• 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.
• Supportive, welcoming, and innovative environment where collaboration is at the heart of what they do.