The work spans research and production. You'll evaluate methods from academia and industry, adapt and train models on Agentio's proprietary data, develop new approaches when existing methods fall short, and work with engineering and product to ship them.What You'll Work OnMultimodal intelligence. Build systems that understand creators, brands, briefs, and content across video, audio, image, and text.
Ranking, recommendation, and prediction. Develop models that predict creator-brand fit and campaign outcomes and make better decisions from sparse, heterogeneous feedback.
Foundation models and agents. Apply LLMs and multimodal models to campaign planning, discovery, creative understanding, execution, and optimization. Use Agentio's proprietary data for prompting, retrieval, fine-tuning, post-training, and, where it makes sense, specialized model training.
Learning and decision-making. Turn campaign data into training signals, evals, and learning loops while tackling problems in optimization, exploration, measurement, and marketplace dynamics.
Part of the role is deciding which advances in AI and ML are useful for Agentio and where new methods are needed.
What You'll Do- Own research problems from problem definition and experimentation through production.
- Evaluate relevant AI and ML methods against Agentio's data, build rigorous experiments and evaluations, and measure performance in production.
- Develop models, algorithms, training approaches, or datasets when existing techniques aren't sufficient. Work with engineering and product to ship successful approaches.
- Help set Agentio's research agenda and technical standards for applied ML.
Who We're Looking ForWe're looking for someone with strong research judgment who also wants to build production systems.
- Demonstrated experience conducting applied ML research, with original work shown through production ML systems, publications, open-source research, or comparable contributions. A PhD or advanced degree in ML, AI, computer science, statistics, or a related field is useful but not required.
- Depth in one or more areas such as foundation models, multimodal learning, recommendation and ranking, representation learning, reinforcement learning and decision-making, causal inference, optimization, or adjacent fields.
- Ability to turn ambiguous product problems into tractable research questions, run rigorous experiments, and translate successful approaches into production systems.
- Strong engineering skills and experience taking ML work beyond prototypes.
- Strong knowledge of current AI research and the judgment to determine which methods are useful in practice.
What You'll Get- The opportunity to build a first-of-its kind business as an early team-member and make a meaningful impact in the way brands share their stories and creators live off their work.
- Crash-course in what it takes to scale a start-up with first-hand exposure to the different foundational business drivers and needs.
- The chance to work with an exceptional team and help build our engineering culture
- A collaborative, transparent, and engaging work environment.
Benefits & Perks- Flexible PTO - Take the time you need to recharge
- Comprehensive Health Coverage - Top medical plan through Aetna
- Dental & Vision Plans - Protect your smile and your sight with coverage from Guardian
- 401(k) Retirement Plan - Invest in your future while you build your career
- $100 Monthly Lifestyle Credit - Use it to shop with our amazing Agentio Brand Partners
- Daily lunches and snacks in the office to keep you at your best
- Dinner provided Monday - Thursday
- Fully subsidized gold tier access on Wellhub (Includes LifeTime, Barry's, Solidcore, Headspace, etc)
- Gym in the building! - Your workout, right downstairs
