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À propos
This range is provided by Monarch Recruiters. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $200.00/yr - $350.00/yr
Our Client is building the taste layer for AI - teaching models what "great" feels like across subjective domains. They lead research with creative experts and AI labs to develop the methods, data, and evaluations that teach models to understand quality, style, and emotion.
As a Machine Learning Research Engineer, you’ll drive research that teaches models across domains such as model personality and behavior, UI design, multimodal generation, and writing tone.
Qualifications
Degree in relevant Computer Science, Machine Learning, or Computer Engineering
2+ years of work experience in post-training/ML research/ML engineering
Experience in ML research, Applied ML, or ML research engineering, especially in post-training/fine-tuning large models (SFT, RLHF, DPO).
Experience with LLM/diffusion models
Experience working at or with a data provider for model training
Proficiency in Python and PyTorch for software engineering
What You’ll Do
Train reward models, classifiers, and verifiers for subjective domains (e.g., design, writing, visual style).
Develop frontier evaluations and benchmarks for subjective domains.
Run post-training experiments on open-source models to test new data formats and post-training techniques.
Collaborate with AI labs and creative experts to design pilots and experiments around taste.
Own the end-to-end pipeline.
Publish blogs and whitepapers.
What Sets You Apart
Thinks like a researcher, moves like an engineer
Creative, intellectually curious, and passionate about art, fashion, or writing
0 to 1 startup experience or startup mindset (move quickly, iterative research cycles)
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Engineering, Design, and Product Management
Industries IT System Custom Software Development, Software Development, and Research Services
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Compétences linguistiques
- English
Avis aux utilisateurs
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