Research Engineer in Data

Requirements:

• A strong background in data-centric, applied Machine Learning, with hands-on experience improving model performance through data quality, curation, labeling, and evaluation rather than model architecture alone
• Experience working on the data layer of Generative AI products, particularly involving images, video, or audio
• Excellent Python skills, with a strong focus on writing clean, maintainable, and well-tested code

Nice to Have:

• Experience designing, building, and operating workflow orchestration systems and large-scale data processing pipelines

What You'll Be Doing:

• Building the world’s best human-centric data lake by collaborating closely with model training teams
• Extracting new features and annotations to elevate datasets and enhance model performance
• Influencing the team’s longer-term strategy while enhancing infrastructure and pipelines

Perks and Benefits:

• Competitive compensation (salary + stock options + bonus)
• Hybrid work setting with office options in various European locations or remote work
• 25 days of annual leave + public holidays
• Great company culture with regular planning and social events at hubs
• Additional benefits depending on your location