Data Engineer

Jasper is the leading AI marketing platform, enabling the world's most innovative companies to reimagine their end-to-end marketing workflows and drive higher ROI through increased brand consistency, efficiency, and personalization at scale.

Jasper has been recognized as "one of the Top 15 Most Innovative AI Companies of 2024" by Fast Company and is trusted by nearly 20% of the Fortune 500 – including Prudential, Ulta Beauty, and Wayfair. Founded in 2021, Jasper is a remote-first organization with team members across the US, France, and Australia.

Jasper Research is seeking an experienced Data Engineer who will play a pivotal role in supporting our image research team to help design, scale, and maintain our data infrastructure, as well as data processing pipelines powering the training of state-of-the-art multimodal models.

In this role, you will work closely with our research scientists and research engineers to collect, clean, and process large-scale datasets from a variety of sources, ensuring that our models are built on the best possible data foundations.

This role is open to candidates located in France. It will be a hybrid setup, which requires you to come into the office when necessary. The office is based at Station F in Paris, the vibrant hub of the French startup ecosystem. Our efficient and lean team at Station F thrives on innovation and collaboration.

What you will do at Jasper

• Design and implement end-to-end scalable data pipelines to ingest, transform, and load data into our data warehouse.

• Analyze existing datasets and implement robust data validation, deduplication, and bias mitigation processes to ensure the highest quality and diversity of training data.

• Create training sets from existing data, using classical computer vision algorithms, vision models and LLMs.

• Optimize data loading, preprocessing, and augmentation workflows to eliminate bottlenecks and maximize training efficiency.

• Document all data processes, schemas, and transformations to ensure full reproducibility and transparency for the research team.

• Work hand-in-hand with research scientists and engineers to understand their data needs, provide actionable insights, and rapidly iterate on pipeline improvements.

• Source new multi-modal data from public sources.

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.

• Strong experience as a Data Engineer or in a similar data-focused role.

• Strong experience in image manipulation at scale and understanding of computer vision.

• Hands-on experience with distributed computing frameworks and cloud platforms for distributed ML training.

• Familiarity with cloud-based data warehousing and storage solutions (e.g., BigQuery).

• Strong attention to detail, commitment to data quality, and a proactive approach to supporting research needs.

Preferred Qualifications

• Knowledge of data transformation and enrichment techniques, including clustering, deduplication, and synthetic data generation

• Experience with vector databases for ML data

• Proficiency in Python and SQL for data manipulation and analysis.

• Proficiency in at least one ML library (TensorFlow, PyTorch, Jax). PyTorch preferred.

• Contributions to open-source data tools or projects.

• Familiarity with data privacy and compliance regulations (GDPR, CCPA).

• Mutuelle coverage for hospitalisation and mental health care provided through Alan Comprehensive healthcare plan

• Flexible PTO with a FlexExperience budget (€552 annually) to help you make the most of your time away from work

• FlexWellness program (€1,640 annually) to help support your personal health goals

• Generous budget for home office set up

• €1,375 annual learning and development stipend