To qualify you must work as an ML research engineer, research scientist or applied scientist, and have personally trained, fine-tuned or optimized models in PyTorch or JAX.
What you'll do
- Come up with ideas for hard machine learning engineering tasks ("plans") for a long-horizon AI research project with a leading AI lab
- Design tasks hard enough to stump frontier models: a strong task is solved in no more than 2 out of 8 attempts
- Lean toward inference, evaluation and systems work rather than heavy model training. About half of the tasks run on GPU and half are CPU-only
- Explain clearly why each problem is hard for a frontier model
- You mainly contribute ideas. You do not need to build or review the tasks yourself
Must-haves
- Current or recent role as an ML research engineer, research scientist or applied scientist
- Hands-on experience personally training, fine-tuning or optimizing models in PyTorch or JAX
- Deep knowledge of at least one of these areas:
- LLMs: pretraining, alignment, evals
- GPU inference and performance: vLLM, Triton, CUDA, profiling
- Reinforcement learning (RL)
- Scientific ML: weather and climate, physics, biology
- Able to explain why a problem is hard for a frontier model
Nice-to-haves
- Experience writing benchmark or evaluation questions (a big plus)
- PhD in ML, CS or physics, or an MSc plus strong research output
- Publications
- Prior Mercor contracts with strong performance
Not a fit
- Software or full-stack engineers whose AI experience is mainly building LangChain or RAG applications
- Backgrounds limited to AI trainer, rater or annotator work
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AI Research Scientist - Fully Remote in Berlin Arbeitgeber: Mercor
Als Arbeitgeber bieten wir Ihnen die Möglichkeit, in einem innovativen Umfeld zu arbeiten, das sich auf die Entwicklung hochrealistischer Marketing-Simulationsumgebungen konzentriert. Unsere Unternehmenskultur fördert Kreativität und Zusammenarbeit, während wir gleichzeitig individuelle Wachstumschancen durch Schulungen und Zertifizierungen wie Rubric Academy oder Bootcamp anbieten. Bei uns haben Sie die Chance, Ihre praktischen Erfahrungen im Produktmarketing einzubringen und an spannenden Projekten zu arbeiten, die die Zukunft der KI-gestützten Marketinglösungen gestalten.
