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Meltwater was founded in Oslo, Norway, in 2001. As the legend goes, the company started with only two men, a coffee machine, and $15,000 in startup capital. Our original address was Shack15, a little office space located in a shipyard in Oslo, where the team cobbled together borrowed hardware to create our first server farm. As the world’s first online media monitoring company, the team worked tirelessly to educate the Norwegian market on the value of tracking, monitoring, and analyzing online news.
Our footprint began to grow in the early 2000s as the company’s operations began expanding throughout Scandinavia, then the United Kingdom, and, eventually, Europe. After focusing our attention on conquering the United States, we set our eyes to Asia-Pacific. By 2008, we had a physical presence—and an impressive customer list—on every continent.
During this time, we became one of the first companies globally to offer social listening and social media analytics, and have consistently been at the forefront of innovation within our industry. Over the past five years, we completed eight acquisitions, earning us international recognition as one of the most prominent acquirers of Artificial Intelligence (AI) and data science companies in the world.
Today, we are proud to have built Meltwater into a global company. We know many companies take a different path to growth, but we aren’t like many companies. We are Meltwater, and we think that’s what makes us unique. We hope you do, too.
What We’re Looking For:
Meltwater’s Consumer Intelligence AI Team is looking for a Software Engineer - Machine Learning developing innovative new features that power the next generation of applied generative AI in the Consumer Intelligence industry.
We are looking for someone with a creative, proactive, collaborative, and innovation focused mindset. You will work alongside a team of passionate machine learning engineers driven by enthusiasm for adopting new technologies and excitement about making the difference for customers using applied AI.
Our team is organized over 3 objectives: innovation, research and production.
Innovation: We leverage our AI expertise to constantly imagine new business oriented features to enhance our products.
Research: To implement our algorithms, we need to stay up-to-date to the latest breakthroughs over the Machine Learning world as well as the latest frameworks.
Production: We make a point of designing and developing our algorithms with production-grade best practices. Scalability is our goal. The models and systems that we develop are running over billions of documents (text or image) per day.
Responsibilities:
Drive the development of new industrial level projects from ideation to deployment. This includes deep expertise in areas such as early ideation & prototyping, research, infrastructure, scalability, monitoring, and evaluation of AI systems
You’ll write efficient, well-tested and design code, build clean systems to empower MIRA with new advanced generative AI capabilities.
Collaborate closely with product teams in their domains, building domain expertise, and leveraging ML to solve critical business problems
Keep up-to-date with the latest advancements in machine learning to stay current on emerging techniques to solve novel problems
Where You’ll Work: 8, rue du Renard - 75004 Paris
Preferred Experience:
3+ years of experience as a Machine Learning Engineer or Software Engineer building ML Systems
You have high technical engineering competence. This means being able to design and write complex software from end-to-end and make it production-ready
Advanced knowledge in a least one programming language (Python or other e.g. Rust, Scala, Java)
Passion for AI (in particular Generative AI), with a constant drive to stay updated and ahead of the curve
You are a team-player, self-learner and autonomous
MS or PhD in Computer Science, Engineering or a related technical field
Nice to have:
Experience building industry-scale user-facing ML/AI/Agentic applications
Experience with MLOps and DevOps principles and technologies (e.g. CI/CD, Terraform, Containerization, Kubernetes)
Demonstrable experience with the full lifecycle of machine learning models - from development to deployment and monitoring
Experience with Information Retrieval systems in a production environment (Elasticsearch, Quickwit, Vespa, …) is a plus
Screening call with a TA member
Interview with one of the AI members.
Some AI team members who will guide you through a technical interview related to their day-to-day work.
Discussion with the Head of Engineering, Meltwater Consumer Insights division.
En bref
Année de création
2001
Nombre d'employés
2200
Âge moyen
32
Chiffre d'affaires
477 M
Genre
49%
51%