Machine Learning Engineer (NLP)
- 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.
- 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
- 2+ 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
- 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
the way. We are innovators at the core who see the potential in people, ideas and technologies. Together, we challenge ourselves to go big, be bold, and build best-in-class solutions for our customers. We're proud of our diverse team of 2,200+ employees in 50 locations across 25 countries around the world. No matter where you are, you'll work with people who care about your success and get the support you need to unlock new heights in your career. We are Meltwater. Inspired by innovation, powered by people. Equal Employment Opportunity Statement Meltwater is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: At Meltwater, we are dedicated to fostering an inclusive and diverse workplace where every employee feels valued, respected, and empowered. We are committed to the principle of equal employment opportunity and strive to provide a work environment that is free from discrimination and harassment. All employment decisions at Meltwater are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or any other status protected by the applicable laws and regulations. Meltwater does not tolerate discrimination or harassment of any kind, and we actively promote a culture of respect, fairness, and inclusivity. We encourage applicants of all backgrounds, experiences, and abilities to apply and join us in our mission to drive innovation and make a positive impact in the world.
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