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NeuroNation is the personalised training app that empowers more than 20 million people all over the world in staying brain healthy and happy in their lives.

• You have a deep personal interest in BRAIN TRAINING and SELF-IMPROVEMENT
• You have at least 2 years of working experience in Neuroscience, Cognitive Science, Psychology, or related fields
• You are a passionate learner
• You have personal experience as a user of digital games

Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.

As a Research Manager within Datadog AI Research (DAIR), you will lead a team working on fundamental research in foundation models and world models while remaining deeply engaged in the technical direction of the work.…

• You hold a PhD in Computer Science, Machine Learning, or a related field, or have equivalent experience, with deep expertise in areas such as foundation models, world models, multimodal learning, or generative modeling
• You have demonstrated the ability to lead technically ambitious research at meaningful scale, whether in an industry research lab, startup, academic environment, or another research setting
• You have extensive hands-on experience designing, training, or evaluating large-scale deep learning models (such as large language models), with experience in multimodal or non-text data considered a strong plus
• You have a track record of research impact through influential publications, significant model or system contributions, widely used research artifacts, or equivalent technical achievements

Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.

• Top-Tier Research Track Record: You have authored publications in top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ACL) specifically regarding attention mechanisms, efficient transformers, or multimodal learning. · preferred
• Experience training models on large-scale GPU clusters. · preferred
• Proven experience in data curation, data cleaning, data pruning, and building robust data pipelines for large-scale datasets. · preferred
• Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns. · preferred

Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt.…

• Global or Post-M&A Context: Experience driving process or system adoption across complex, multi-regional environments with diverse cultures and legacy ways of working. · preferred
• Structured Methodologies: Strong understanding of structured change frameworks (e.g., Prosci, ADKAR) adapted pragmatically to fast-paced, commercial environments. · preferred
• Modern Training Delivery: Experience delivering digital, self-service, and role-based onboarding formats for continuous learning. · preferred
• Data-Driven Insights: Ability to leverage adoption and capability metrics (e.g., system usage, compliant buying, training completion) to actively track, diagnose, and improve outcomes. · preferred

Our GTM Enablement team plays a critical role in helping Datadog's Sales and Customer Success teams succeed by equipping them with the right skills, knowledge, and tools at the right time. We partner closely with teams…

• Solid business acumen and comfort using performance data, field feedback, and qualitative insights to inform enablement decisions; experience with Asana or similar project management tools is a plus. · preferred
• Highly collaborative and relationship-oriented — you build trust quickly with sellers, managers, and cross-functional partners.
• Organized, adaptable, and comfortable operating independently across a large, diverse region.
• Fluent in English, with proficiency in one or more additional European languages a plus; willing and able to travel approximately 25% across EMEA. · preferred

Our GTM Enablement team plays a critical role in helping Datadog's Sales and Customer Success teams succeed by equipping them with the right skills, knowledge, and tools at the right time. We partner closely with teams…

• Solid business acumen and comfort using performance data, field feedback, and qualitative insights to inform enablement decisions; experience with Asana or similar project management tools is a plus. · preferred
• Highly collaborative and relationship-oriented — you build trust quickly with sellers, managers, and cross-functional partners.
• Organized, adaptable, and comfortable operating independently across a large, diverse region.
• Fluent in English, with proficiency in one or more additional European languages a plus; willing and able to travel approximately 25% across EMEA. · preferred

Help build ML systems that make financial crime harder to hide

• Strong production Python engineering experience. You write code that ships and are comfortable with automated testing, CI/CD, code review, versioning, observability, and operating services or pipelines in production.
• Experience deploying and operating ML models in production. You understand the practical realities beyond experimentation: reproducible training, model versioning, deployment, monitoring, incident response, and rollback.
• Hands-on experience with end-to-end ML pipelines. You have taken models from data preparation and training through validation and production use, and you understand how to choose appropriate KPIs and evaluation metrics.
• Solid data-engineering fundamentals. You have worked with complex, multi-source data ecosystems and care about data quality, lineage, reproducibility, and failure modes.

Novaspace is seeking a Working Student to join our Munich office, supporting our team across a diverse range of consulting, innovation advisory and business activities in the space sector.

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.

Before the detail, here's the challenge you'd help us solve.

Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.

• Experience training ML models and operating them in production, at scale. · preferred

<p>At Inceptive, you will help pioneer the next generation of AI-designed drugs, with the potential to positively impact billions of people, as part of a collaborative, antedisciplinary team.</p>

Raisin is the world’s leading platform for savings and investment products. Founded in 2012, the FinTech connects consumers with banks in the EU, the UK and the US. This gives consumers better interest rates and banks a…

• Experience: Several years of professional experience in Anti-Financial Crime and Fraud Prevention within a banking or consulting environment.
• Regulatory Knowledge: In-depth understanding of German and EU regulatory frameworks including GwG, BaFin AuA, AML-VO, EBA Guidelines, FATF recommendations, and KWG.
• Domain Expertise: Proven track record in KYC, customer identification, and the creation of accurate risk analyses and customer risk ratings and Fraud Prevention.
• Analytical Rigor: Demonstrated ability to translate complex regulations into conceptual solutions, with an openness to leveraging technological innovations.

PAIR Finance is reimagining debt collection: We've developed the most advanced AI technology in receivables management, fundamentally transforming the entire collections industry. Today, with over 260 employees, 600+…

• Experience: Minimum 3+ years at senior level in Training & Documentation and/or Quality Management
• Languages: Fluent in English, German knowledge is beneficial
• Technical competence: Experience with Learning Management Systems or learning path design; familiarity with process documentation and process optimization
• Industry knowledge: Strong understanding of internationally varying regulatory requirements, ideally in Collections and/or Data Protection · preferred

Research Engineer, Manipulation Data & Teleoperation — Zurich

Before the detail, here's the challenge you'd help us solve.

• Significant engineering leadership experience, with a track record of building and leading high-performing technical organisations.
• Deep technical expertise in computer vision, video, multimodal AI or related perception problems.
• Experience leading large-scale data capabilities that directly influence model training, evaluation and performance.
• Strong intuition for what makes data valuable, with experience in data discovery, selection, curation and enrichment at scale.

ElevenLabs is an AI research and product company transforming how we interact with technology.

• 3+ years of experience in the field of AI, with an emphasis on implementing, training, and improving machine learning models.
• Demonstrated capacity to autonomously evaluate novel concepts or enhance existing machine learning projects, potentially contributing to published work.
• Experience conducting exploratory research to improve the quality of gathered data.

The AI orchestration of your wildest imagination.

• 🧠 Sales enablement experience in PLG SaaS: You have 4+ years of enablement experience at fast-growing SaaS companies, ideally building enablement from scratch in a PLG environment. · preferred
• 💼 Deal complexity experience: You've enabled teams selling mid-market to enterprise deals (6 to low-7 figures).
• 🧑‍💻 Technical buyer fluency: You understand how to sell to technical personas (CTOs, engineering managers) and can translate that into training that resonates with a technical AE audience.
• 📚 Learning program design: You’ve built high-quality, scalable training programs tailored to different GTM roles and seniority levels.

Radiant is redefining how AI infrastructure is built.