Black Forest Labs
Member of Technical Staff - Large scale data infrastructure(m/w/x)
Full-timeOn-siteSenior
Freiburg im Breisgau
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BLBlack Forest Labs
.Member of Technical Staff - Model Serving / API Backend Engineer(m/w/x)
Freiburg im Breisgau
from USD 180,000 - 300,000 / year
Full-timeOn-siteExperienced
Nejo AI Summary
Deploying generative AI models into production inference services on GPU infrastructure. Experience building and operating systems at scale required. Reasonable travel costs covered.
Requirements
- Experience building and operating systems at scale
- Understanding of production systems vs. prototypes
- Comfort navigating ambiguity and making tradeoffs
- System improvement under real-world constraints
- Strong judgment on performance, reliability, cost tradeoffs
- Experience scaling APIs or ML systems under load
- Comfort in fast-moving, research-adjacent environments
- Ownership from system design through debugging and deployment
- Building and operating ML inference services in production
- Designing scalable API architectures with async processing
- Optimizing GPU workloads (batching, quantization, compilation, CUDA)
- Managing distributed systems and task queues under variable load
- Implementing monitoring and observability for production ML systems
- Debugging performance bottlenecks across model, infrastructure, network
- Experience with real-time or low-latency inference systems
- Experience with TensorRT, reduced precision, layer fusion, model compilation
- Frontend demo tooling (Streamlit, Gradio, React)
- CI/CD and automated testing for ML systems
- Security best practices for API and model serving
Tasks
- Turn research checkpoints into production-ready inference services
- Design and maintain high-performance APIs
- Optimize inference latency and throughput on GPU infrastructure
- Build scalable serving architectures for unpredictable traffic
- Improve reliability, monitoring, and observability
- Prototype and ship demos showcasing new capabilities quickly
- Collaborate with researchers to expedite idea-to-endpoint processes
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- CUDA
- TensorRT
- Streamlit
- Gradio
- React
Benefits
Additional Allowances
- Reasonable travel costs covered
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Black Forest Labs and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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BLBlack Forest Labs
.Member of Technical Staff - Model Serving / API Backend Engineer(m/w/x)
Freiburg im Breisgau
from USD 180,000 - 300,000 / year
Full-timeOn-siteExperienced
Nejo AI Summary
Deploying generative AI models into production inference services on GPU infrastructure. Experience building and operating systems at scale required. Reasonable travel costs covered.
Requirements
- Experience building and operating systems at scale
- Understanding of production systems vs. prototypes
- Comfort navigating ambiguity and making tradeoffs
- System improvement under real-world constraints
- Strong judgment on performance, reliability, cost tradeoffs
- Experience scaling APIs or ML systems under load
- Comfort in fast-moving, research-adjacent environments
- Ownership from system design through debugging and deployment
- Building and operating ML inference services in production
- Designing scalable API architectures with async processing
- Optimizing GPU workloads (batching, quantization, compilation, CUDA)
- Managing distributed systems and task queues under variable load
- Implementing monitoring and observability for production ML systems
- Debugging performance bottlenecks across model, infrastructure, network
- Experience with real-time or low-latency inference systems
- Experience with TensorRT, reduced precision, layer fusion, model compilation
- Frontend demo tooling (Streamlit, Gradio, React)
- CI/CD and automated testing for ML systems
- Security best practices for API and model serving
Tasks
- Turn research checkpoints into production-ready inference services
- Design and maintain high-performance APIs
- Optimize inference latency and throughput on GPU infrastructure
- Build scalable serving architectures for unpredictable traffic
- Improve reliability, monitoring, and observability
- Prototype and ship demos showcasing new capabilities quickly
- Collaborate with researchers to expedite idea-to-endpoint processes
Work Experience
- approx. 1 - 4 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- CUDA
- TensorRT
- Streamlit
- Gradio
- React
Benefits
Additional Allowances
- Reasonable travel costs covered
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Black Forest Labs and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Black Forest Labs
Industry
IT
Description
The company advances generative deep learning for media, creating models that transform ideas into images and videos.
Not a perfect match?
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