Senior Machine Learning Researcher

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Researcher in Denmark.

This role offers a unique opportunity to influence the foundation of AI model performance by focusing on the quality and structure of training data. You will lead efforts to curate, assess, and optimize large-scale, unstructured datasets that power state-of-the-art AI systems. Working closely with research and engineering teams, you will apply statistical, computational, and ML-driven techniques to improve dataset diversity, representativeness, and overall impact. The position requires a highly analytical and independent thinker who can design frameworks to evaluate and de-risk datasets while contributing to the development of automated data preprocessing and validation tools. This is a highly collaborative role in a fast-moving, high-trust environment that encourages ownership, experimentation, and measurable impact on real-world AI outcomes.

• Lead the evaluation, curation, and optimization of large-scale unstructured datasets for AI model training.
• Design and implement statistical and machine learning methods to assess data quality, diversity, and informativeness.
• Collaborate with model training teams to identify data bottlenecks and optimize dataset performance.
• Provide leadership on data quality strategy and establish best practices for dataset assessment.
• Evaluate external datasets for scalability, relevance, and integration, creating data scorecards as needed.
• Contribute to R&D of tools that automate data preprocessing, validation, and enhancement processes.
• Communicate findings and improvements to research, engineering, and cross-functional teams.

• PhD or equivalent Master’s degree with 4+ years of industry experience in machine learning, computer science, statistics, mathematics, engineering, or a related quantitative field.
• Strong understanding of AI training pipelines, including preprocessing, evaluation, and optimization of datasets.
• Experience handling large, unstructured datasets, particularly in text-based domains.
• Background in statistical analysis, bias detection, and data validation methodologies.
• Ability to identify high-impact problems and independently develop solutions.
• Excellent collaboration and communication skills, with experience working across technical teams.
• Bonus: experience with synthetic data generation, dataset augmentation, or development of evaluation frameworks; publications or open-source contributions in data-centric AI.

• Competitive compensation and performance-based incentives.
• Fully remote, flexible working environment.
• Opportunity to work on high-impact AI projects with access to large-scale datasets.
• Collaborative and high-trust culture emphasizing ownership and velocity.
• Direct influence on AI model performance and data strategy.
• Exposure to cutting-edge AI research and applied machine learning projects.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

 Why Apply Through Jobgether? 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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