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SeniorFull-timePythonRustC++ReactAWSKubernetesMachine LearningGoAIML
Salary Range
$92,820 - $125,580 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a Foundation Model Training Data Engineer to join our team at DeepL. This role focuses on developing and managing foundation models and data preparation pipelines for large-scale unstructured data.
Key Responsibilities
- →Work on ambitious frontier research projects as part of a foundation model training research team
- →Architect, design and build scalable data pipelines for downloading and preparing multimodal unstructured data
- →Build on a modern tech stack including Kubernetes, Dask, Ray, and AWS
- →Deploy complex Python data solutions to cloud infrastructure
- →Engineer and operate large-scale data solutions for text, code, image, and audio modalities
- →Collaborate with stakeholders, research scientists, and other data engineers
- →Ensure mission-critical reliability of data pipeline jobs
Requirements
- ✓Degree in a scientific or technical field
- ✓Previous work experience as Data Engineer in a scaled-up tech company
- ✓Extensive experience with large-scale data engineering using Python
- ✓Experience with distributed computing and parallelization for Python
- ✓Experience with infrastructure-as-code and Kubernetes on AWS
- ✓Excellent communication and collaboration skills
Benefits
- ★Diverse and internationally distributed team
- ★Open communication and regular feedback
- ★Hybrid work schedule with flexible hours
- ★Regular in-person team events
- ★Monthly full-day hacking sessions
- ★30 days of annual leave
- ★Competitive benefits tailored to your location
