CrawlJobs Logo

Senior AI Research Engineer

Netherlands, Amsterdam · Job Posted July 03, 2026
Apply Position
Job Link Share

Job Description

Adyen is building a top-tier AI engineering organization in Amsterdam, San Francisco and Madrid to drive our next chapter of innovation using AI globally across the entire company. This is a highly technical, hands-on role focused on the exploration and application of cutting-edge AI research within the financial technology sector. As a Senior AI Research Engineer, you will operate with a high degree of autonomy and responsibility, delivering strategic, high-impact outcomes that bridge the gap between advanced AI research and production-grade applications at a global scale, potentially impacting trillions of dollars in transactions annually.

Job Responsibility

  • Innovate and Deploy: Drive the execution of Adyen's AI strategy, focusing on the practical application of Generative AI (GenAI) and other AI methodologies in finance
  • Build Production-grade Applications: Bridge the gap between cutting-edge AI research and production by implementing research papers into robust, scalable, and production-ready code
  • Optimize and Scale: Contribute to defining the long-term vision for AI at Adyen, specifically how AI will interact with humans and finance
  • Think Outside the Box: Drive innovation by challenging the status quo, introducing transformative ideas and implementing creative solutions
  • Force Multiplier: Provide mentorship and horizontal sponsorship across the organization
  • Team Player: Actively pair with other engineering teams to solve deep-rooted technical challenges
  • Learn and Lead: Connect with the broader AI community to stay informed of the latest advancements and identify potential partnership opportunities

Requirements

  • You are deeply embedded in the scientific AI research community and have a strong understanding of the latest SOTA advancements
  • You have significant experience and a strong understanding of Generative AI (GenAI) and Large Language Models (LLMs)
  • You demonstrate a strong engineering mindset with a track record of writing clean, efficient, and scalable code suitable for production environments
  • You have demonstrated experience taking cutting-edge AI research papers and implementing them into production-quality code
  • You demonstrate the ability to think critically and deliver simple and elegant solutions to complex, cross-team problems, influencing strategic direction and fostering innovation across the organization
  • You excel at translating complex technical concepts into clear, understandable terms for diverse audiences, including engineers, executives, and during public events
  • You thrive in leveraging empathy, influence, negotiation, relationship building, and conflict resolution to foster strong, trust-based collaborations

Nice to have

  • A strong product sense and the ability to identify impactful AI use cases
  • Experience in AI-enabled fintech companies
  • Familiarity with classical machine learning concepts
  • Experience with external visibility activities such as conferences and publications
  • Experience working with on-premise infrastructure

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Senior AI Research Engineer

8 matching positions

New

Senior AI Research Engineer

Adyen is building a world-class AI team to redefine what intelligent systems can...
Location
Location
Spain , Madrid
Salary
Salary:
Not provided
adyen.com Logo
Adyen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6+ years of hands-on experience in applied AI/ML research or engineering, with a clear track record of shipping AI systems, including agentic or LLM-powered systems, in production environments
  • Deep expertise in language models and Generative AI, with hands-on depth across several of: architecture, post-training (fine-tuning, RLHF), inference optimization, context engineering, and failure modes at scale
  • Proven experience designing and operating agentic systems at scale, multi-agent orchestration, tool use, memory and context management, state handling for long-running workflows, and human-in-the-loop design
  • Rigorous and systematic about evaluation
  • Strong foundation in classical machine learning: supervised learning, ensemble methods, optimization, probabilistic modeling, and statistics
  • Write clean, well-structured, production-ready code, primarily Python
  • Hands-on experience with at least one production-grade agentic framework
Job Responsibility
Job Responsibility
  • Design and Deploy AI Agents for Complex Tasks
  • Own Evaluation and Benchmarking
  • Provide AI Expertise Across the Organization
  • Raise the Bar
Read More
Arrow Right
New

Senior Lead Ai Engineer (Mlx, Agentic Ai, Gen Ai Platform Services)

Location
Location
United States , San Francisco; New York; San Jose; Cambridge; McLean
Salary
Salary:
229900.00 - 286200.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
  • At least 6 years of experience programming with Python, Go, Scala, or Java
Job Responsibility
Job Responsibility
  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
  • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
  • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
  • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
  • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One
What we offer
What we offer
  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
  • Fulltime
Read More
Arrow Right

Senior Staff AI Research Engineer

We are seeking a Senior Staff AI Research Engineer to help make Campus the world...
Location
Location
United States , New York City
Salary
Salary:
235000.00 - 300000.00 USD / Year
campus.edu Logo
CampusGroup
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Deep technical expertise in machine learning
  • Passion for developing novel systems that personalize and improve the student experience
  • Ability to lead research and build production-ready AI features
  • Ability to contribute to publications that advance the field of AI in education
  • Visionary builder who can connect advanced research to human-centered educational goals
  • Thrive in open-ended, research-oriented environments and take initiative to define impactful projects
  • Collaborative innovator who bridges frontier research with scalable engineering solutions
  • Care deeply about creating measurable impact in students’ learning outcomes
  • Passionate about experimentation, open science, and the potential of AI to transform education
  • Must already be authorized to work in the U.S. without requiring new H-1B sponsorship
Job Responsibility
Job Responsibility
  • Design and develop new AI systems that enhance the Campus learning experience
  • Run rigorous experiments to validate the effectiveness of these systems
  • Create new benchmarks and datasets for evaluating AI learning models
  • Publish your work in peer-reviewed journals and leading AI conferences
  • Collaborate with product and engineering teams to deploy models that improve real-world student engagement
What we offer
What we offer
  • Equity grant
  • Medical, dental, and vision insurance
  • 401(k) match
  • Fertility benefits via Carrot
  • Flexible Time Away + paid holidays
  • In-office lunches for our NY Office
  • Social events - happy hours, birthday celebrations, holiday parties, & more
  • Fulltime
Read More
Arrow Right

Senior Research Engineer Machine Learning, AI for Science

At Microsoft Research AI for Science we believe deep learning has the potential ...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Completed MSc in computer science, machine learning, AI or a related area
  • Proficiency in collaborative software engineering in Python
  • Familiarity with Linux and the open-source ecosystem
  • In-depth understanding of open-source machine learning frameworks such as PyTorch and/or Jax
  • Experience in designing, developing and deploying ML systems
  • Experience building and optimizing distributed systems and large-data applications, including those using tensor accelerators or GPUs
  • Ability to work in an interdisciplinary collaborative environment, through effective communication of technical concepts to non-experts from different technical backgrounds
Job Responsibility
Job Responsibility
  • Develop and maintain tools, models and technologies for building, training, optimizing and scaling machine learning solutions
  • Architect, design, and implement scalable and robust solutions for machine learning and scientific research involving large volumes of heterogeneous data
  • Build and optimize distributed data processing and model building pipelines
  • Prepare and maintain open-source releases and releases for internal and external beta testers
  • Work cross-functionally with machine learning researchers, engineers and researchers from the natural sciences
  • Maintain high standards in code quality and software design
  • Document and share best practices across the organization
  • Fulltime
Read More
Arrow Right

Senior Research Engineer in Materials - AI for Science

Microsoft Research AI for Science is seeking a talented research engineer to joi...
Location
Location
United Kingdom , Cambridge
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD in computational materials science, computational chemistry, condensed matter physics, machine learning, or related area, or comparable industry experience
  • Experience in developing high-throughput DFT workflows and scaling them to tens of thousands of materials
  • Proficiency in collaborative code development in Python on shared codebases
  • Publication track record in relevant academic journals (npj computational materials, Nature Materials, PRB, PRL, etc.)
  • Ability to work in an interdisciplinary collaborative environment, through effective communication of technical concepts to non-experts from different technical backgrounds
Job Responsibility
Job Responsibility
  • Design and generate novel datasets for training deep learning models for materials design
  • Develop and deploy scalable DFT workflows for large scale data generation
  • Manage and enhance data infrastructure to support scalable and efficient data generation workflows
  • Validate the accuracy and physical correctness of DFT simulation results
  • Prepare technical papers, presentations, and open-source releases of research code
  • Fulltime
Read More
Arrow Right

Senior Research Software Development Engineer, MSR AI for Science

We are on the cusp of a new frontier in which machine learning and artificial in...
Location
Location
Netherlands , Schiphol
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Master's degree or equivalent work experience in Computer Science, Physics, Engineering, Chemistry, Mathematics or a related field
  • Strong familiarity with Linux and the open-source ecosystem
  • Proficient working with large datasets in a cloud or HPC environment
  • Proficient in building and optimizing distributed systems and large-data applications, including those using tensor accelerators or GPUs
  • Strong analytical, problem-solving, and communication skills
  • Passionate about pushing the boundaries of science
Job Responsibility
Job Responsibility
  • Architect, design, and implement scalable and robust solutions for machine learning and scientific research involving large volumes of heterogeneous data
  • Build and optimize distributed data processing and model building pipelines
  • Develop and maintain tools and technologies for building, training, optimizing, scaling machine learning solutions
  • Collaborate with cross-functional teams, including scientists, researchers, and software engineers
  • Document and share best practices across the organization
  • Maintain the highest standards in code quality and software design
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer (Research Scientist) - Data Foundation & AI

We build simple yet innovative consumer products and developer APIs that shape h...
Location
Location
United States , New York
Salary
Salary:
228960.00 - 315360.00 USD / Year
plaid.com Logo
Plaid
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong applied ML research skills with production delivery experience
  • Depth in Transformers/LLMs, representation learning, or large-scale model training
  • Demonstrated ability to ship models to production (not just prototype)
  • Distributed training experience and strong Python + software engineering fundamentals
  • Fintech / financial data domain experience is a plus
  • External publications or open-source contributions is a plus
Job Responsibility
Job Responsibility
  • Building a foundation model on one of the world’s richest financial datasets that no one else has
  • Doing research that ships: moving from experimentation and prototypes to production systems serving real customers
  • Working across the full ML stack, from pretraining objectives and architectures to serving infrastructure and monitoring
  • Collaborating with a high-caliber team and seeing your work amplify the capabilities of multiple product teams
  • Helping hundreds of millions of consumers achieve greater financial freedom through data-driven products
  • Fulltime
Read More
Arrow Right

Senior Lead AI Engineer, AI Foundations

At Capital One, we are creating responsible and reliable AI systems, changing ba...
Location
Location
United States , New York, New York; McLean, Virginia; San Jose, California; Cambridge, Massachusetts
Salary
Salary:
229900.00 - 286200.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
  • At least 6 years of experience programming with Python, Go, Scala, or Java
Job Responsibility
Job Responsibility
  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
  • Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc
  • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
  • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
  • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One
What we offer
What we offer
  • Eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • Health, financial and other benefits
  • Fulltime
Read More
Arrow Right