Founding Research Engineer, Applied AI

What you'll do

• Own research problems from definition and experimentation through production, including rigorous evaluation and production performance measurement.
• Develop models, algorithms, training approaches, or datasets when existing techniques are insufficient, and work with engineering and product to ship them.
• Help set the company’s applied ML research agenda and technical standards.

What they ask for

• Demonstrated applied ML research experience, evidenced by production ML systems, publications, open-source research, or comparable contributions.
• Depth in one or more relevant areas, such as foundation models, multimodal learning, recommendation and ranking, representation learning, reinforcement learning, causal inference, or optimization.
• Ability to turn ambiguous product problems into research questions, run rigorous experiments, and translate results into production systems.
• Strong engineering skills and experience taking ML work beyond prototypes.

Pay

$195K – $400K (currency not stated; compensation type not stated)

Tools

LLMs

AI focus

Applied AI and ML research for multimodal understanding, creator-brand matching, campaign outcome prediction, recommendations, campaign planning and optimization, and learning from proprietary data. Work includes prompting, retrieval, fine-tuning, post-training, and potentially specialized model training.