Master Thesis focusing on developing machine learning models for lithium - ion cell sorting at Fraunhofer LBF. Involvement in innovative projects addressing circular economy in battery recycling.
About the role
- Machine Learning Engineer responsible for improving MIRA and developing generative AI features at Meltwater. Collaborating with a team to drive innovation and scalability in AI solutions.
Responsibilities
- Drive the development of industrial ML projects from ideation to deployment, contributing across early prototyping, research, evaluation, and progressively to production, scalability, and monitoring with support from the team.
- 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
- Design, run, and iterate on machine learning experiments to improve model quality and product impact
- Develop features, online and offline evaluation metrics, and validation strategies for large-scale ML systems
- Analyze model errors and failure modes to understand limitations, biases, and opportunities for improvement.
Requirements
- 2+ years experience applying machine learning techniques through academic, professional, or personal projects, ideally with exposure to experimentation, modeling, or applied research.
- Solid foundation in machine learning concepts such as feature engineering, model selection, training, validation, and error analysis
- Ability to write clear, well-structured code, with motivation to grow software engineering skills and contribute to production ML systems
- Experience reasoning about metrics, tradeoffs, experiments, and uncertainty in applied ML problems
- You are comfortable learning new tools, concepts, or techniques as needed, and enjoy expanding beyond your initial area of strength.
- 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, PhD, or equivalent practical experience in machine learning, data science, or a related technical field.
Benefits
- Flexible paid time off that allows you to have an enhanced work-life balance.
- Excellent medical, dental, and vision options
- 401(k) matching, life insurance, commuter benefits, and parental leave plans
- Complimentary CalmApp subscription for you and your loved ones, because mental wellness matters.
- Energetic work environment with a hybrid work style, providing the balance you need.
- Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career.
Job title
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Degree requirement
No Education Requirement
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