Forward Deployed Machine Learning Engineer

Black Forest Labs; Freiburg im Breisgau; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading generative AI startup in Freiburg im Breisgau is seeking a Forward Deployed Machine Learning Engineer. The ideal candidate will have experience in customer interaction, deep learning model optimization, and strong proficiency in Python. This role will involve setting up innovative FLUX models and designing integrations to improve customer experiences. Join a cutting-edge team making strides in generative AI technology.

Qualifikationen

• Direct customer interaction and tailored support for generative AI models.
• Hands-on finetuning and serving of deep learning models.
• Experience explaining technical concepts to diverse audiences.

Aufgaben

• Set up FLUX models and ensure optimal latency for integrations.
• Design deep product integrations and optimization for deployments.
• Collaborate with customers to find relevant use cases.

Kenntnisse

Customer interaction

Deep learning model optimization

Machine learning engineering

Python proficiency

Excellent communication skills

Tools

FLUX ecosystem tooling

Cloud platforms

Jobbeschreibung

Forward Deployed Machine Learning Engineer

Join to apply for the Forward Deployed Machine Learning Engineer role at Black Forest Labs

Black Forest Labs is a cutting‑edge startup pioneering generative image and video models. Our team, which invented Stable Diffusion and FLUX, is looking for a Forward Deployed MLE to bring our core offerings to critical customers.

The Role

• Help customers set up FLUX models in their services and ensure optimal latency and output quality for on‑premise and BFL‑hosted integrations.
• Design and implement deep product integrations, model hosting, finetuning, deployment and inference optimization.
• Customize foundation models for visual media for customer‑specific use cases.
• Meet with customers to identify gaps and pain points, assess their needs, and help them decide between BFL‑hosted and on‑premise deployments.
• Collaborate with customers to identify relevant use cases and find innovative solutions.
• Identify expansion potentials for BFL’s technologies into new industry sectors worldwide.

Ideal experiences

• Direct customer interaction, iterating solutions and providing tailored support for generative AI models.
• Hands‑on finetuning, optimizing and serving deep learning models.
• Proven track record in machine learning engineering.
• Proficiency in Python and API integrations to implement basic functionality and help customers prototyping/demo building.
• Experience explaining sophisticated technical concepts to technical and non‑technical audiences.
• Excellent communication skills and ability to adapt messaging to different audiences.

Nice to have

• Knowledge of diffusion models and finetuning/distillation techniques.
• Experience with FLUX ecosystem tooling such as ComfyUI and trainer frameworks.
• Inference optimizations for transformer‑based models.
• Architecting solutions in complex enterprise environments.
• Contributions to open‑source diffusion model projects.
• Experience with cloud platforms and state‑of‑the‑art deployment solutions.

Seniority level: Mid‑Senior level

Employment type: Full‑time

Job function: Engineering and Information Technology

Industries: Software Development