Member of Technical Staff - Post Training

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

EUR 130K-340K From the posting source checked Jun 20, 2026

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

U.S. benchmark only; posted salary is not compared across countries or currencies.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Staff Plus From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered From the posting source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Member of Technical Staff - Post Training Freiburg (Germany) About Black Forest Labs We're the team behind Latent Diffusion, Stable Diffusion, and FLUX - foundational technologies that changed how the world creates images and video. Our models power the tools used by millions of creators, developers, and businesses worldwide, and FLUX is among the most advanced generative systems in the world. Headquartered in Freiburg, Germany with a growing presence in San Francisco, we're scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity. Why This Role Post-training is where a foundation model becomes a product. In this role, you'll own the post-training pipeline for our multimodal models end to end - from data strategy and reward modeling to preference optimization, distillation, and safety tuning - across image, editing, and video. You'll drive measurable gains in model quality, build the infrastructure that lets the whole research team iterate fast, and push the state of the art in what it means to align a generative model to human intent. This is a Staff / Senior IC role. We're looking for someone who has shipped post-training for a frontier model before and wants to do it again. What You'll Work On - Own the full post-training pipeline end to end - from data curation and reward modeling through fine-tuning, preference optimization, distillation, safety tuning, evaluation, and deployment - Advance techniques across the post-training stack: SFT, RLHF, RLAIF, DPO, preference learning, and reward

Read the full description at job-boards.greenhouse.io. FewerJobs shows a preview and links to the original posting.