Bynder goes far beyond managing digital assets. Our digital asset management platform enables teams to conquer the chaos of proliferating content, touchpoints, and relationships in order to thrive.
With powerful and intuitive solutions that embrace the way people want to work, and a richly integrated ecosystem, We are the brand ally that unifies and transforms the creation and sharing of assets, inspiring teams, delighting customers, and elevating businesses.
Our 500+ employees, known as ‘Byndies’, together constitute the world’s most extensive pool of digital asset management expertise. We enable more than 1.7M users across more than 3,700 organizations, including Spotify, Puma, Five Guys and Icelandair.
Founded in 2013, we have eight offices around the globe, including the Netherlands, USA, Spain, UK, Australia and UAE. For more information, visit www.bynder.com.
At Bynder, we simplify how the world’s biggest brands manage digital assets. As a leader in Digital Asset Management (DAM), we leverage cutting-edge AI and ML to create innovative solutions that save time and add value for our customers.
We’re looking for a Machine Learning Engineer to join Bynder Labs, our dynamic team of AI and ML experts. If you’re a problem solver, self-starter, and passionate about AI and innovation, this is your chance to work on exciting prototypes and collaborate with domain experts to shape Bynder’s future.
What You’ll Do
- Build and deploy production-grade models that integrate seamlessly with the engineering ecosystem, tackling diverse challenges like multi-modal asset enrichment, search, generative AI, and agent frameworks.
- Leverage Python and a broad spectrum of ML libraries and frameworks to automate processes, maintain high-performing models, and ensure reliable, scalable deployments.
- Work closely with engineers, DevOps, product managers, analysts, UX researchers, and designers to align AI initiatives with business goals and craft intuitive user experiences.
- Collaborate with domain experts to rapidly prototype and test new ideas, fostering an environment where creative solutions can be explored and validated.
- Stay ahead of the curve by engaging in continuous research and development, applying the latest ML/AI advancements to enhance the product offering.
Requirements:
- Minimum of 3+ years of experience in machine learning research with a focus on developing production-grade solutions.
- Master's degree or Bachelor's degree in Computer Science, Machine Learning, or a related field.
- Demonstrable proficiency in Python and a comprehensive understanding of ML/AI algorithms and frameworks.
- Solid knowledge of Object-oriented programming (OOP) principles and methodologies.
- Good communication and collaboration skills to effectively interact with product teams, stakeholders, and peers.
- Proven experience deploying ML systems at scale, including pipeline design, monitoring, and cloud platforms (e.g., AWS SageMaker).
- Curiosity and passion for solving open-ended problems and staying at the forefront of AI innovation.
- Nice to Have - Experience fine-tuning and deploying Large Language Models (LLMs) or generative-ai solutions in production environments
Why Join Us?
- Work at the forefront of AI innovation in a collaborative and inspiring environment.
- Partner with talented domain experts to experiment with cutting-edge technologies.
- A flat hierarchy where your ideas matter and creativity is celebrated.
- Unlimited vacation policy, hybrid working options, and offices in Amsterdam or Rotterdam.
- Competitive compensation, daily lunches, and top-tier Apple gear.
If you’re passionate about exploring and prototyping the future of AI-powered software, we’d love to hear from you!
Top Skills
What We Do
Before Bynder, first-generation digital asset management systems run by IT departments were too slow and difficult to use.
Bynder launched in 2013 as the first pure SaaS DAM, and it was quickly recognized for its intuitive user experience. Today, thousands of brand and creative teams around the world use the powerful and easy-to-use platform to provide the right, on-brand assets across the enterprise.
As digital transformation accelerates, Bynder leads the evolution to the 3rd wave of DAM: the creative content engine that brands need to power personalized digital experiences. Bynder’s vision is to elevate marketing creativity to the heart of digital experience so brands can build authentic relationships.
