Member of Technical Staff (Applied ML) jobs in United States
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Caddie AI ยท 10 hours ago

Member of Technical Staff (Applied ML)

Caddie AI is a stealth-mode AI research company focused on developing systems that teach AI models about quality and subjective judgment. The Machine Learning Research Engineer will drive research at the intersection of AI and creativity, owning experiments and collaborating with top AI labs.

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Responsibilities

Train reward models, classifiers, and verifiers for subjective domains (design, writing, visual style)
Develop novel evaluations and benchmarks for taste, quality, and subjective judgment
Run post-training experiments on open-source models to test new data formats and techniques
Apply and extend post-training methods such as SFT, RLHF, and DPO
Collaborate with AI labs and creative experts on pilots and research initiatives
Own the end-to-end research pipeline from data to deployment
Publish findings through blogs, whitepapers, and research artifacts

Qualification

ML research experiencePost-training large modelsModern architecturesSFTRLHFDPOPythonPyTorchCreative productsComfort in ambiguityCreative thinking

Required

Experience in ML research, applied ML, or ML research engineering
Hands-on experience post-training large models (LLMs or diffusion models required)
Strong familiarity with modern architectures (transformers, multimodal models)
Experience with SFT, RLHF, DPO, or related techniques
Ability to think like a researcher and execute like an engineer
Comfort operating in ambiguity and undefined problem spaces
Demonstrated creative thinking or background
Experience working on creative products, personalization, or subjective systems
Creative side projects, hobbies, or academic focus are strong signals
Deep motivation to improve AI quality, judgment, and taste

Benefits

Competitive compensation
Meaningful equity
Visa sponsorship available in select cases

Company

Caddie AI

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Caddie AI is the global hiring marketplace built for tech startups.

Funding

Current Stage
Early Stage
Company data provided by crunchbase