About the company
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for an AI Research Scientist 4/5 – Generative Models, Recommender Systems based in the United States.
Responsibilities
- Monitor the latest developments in large language models, generative AI, and deep learning research, identifying promising techniques and translating them into practical solutions for real-world business challenges.
- Lead the end-to-end machine learning lifecycle, including research, experimentation, model training, performance evaluation, and optimization of generative AI systems.
- Apply state-of-the-art techniques to improve generated content quality, with a particular focus on summarization and the development of reliable LLM-based evaluation systems.
- Design and implement AI-based evaluators, including LLM-as-a-judge approaches, to assess generated outputs against defined quality standards and improve the reliability of generative systems.
- Combine generative content capabilities with recommendation system principles to optimize promotional assets for specific audiences, improving relevance, engagement, and overall user impact.
- Collaborate with machine learning scientists and engineers to integrate research models into business applications, platforms, and production workflows.
- Serve as a subject matter expert, identify high-impact opportunities, define technical roadmaps, and communicate complex research findings to technical and non-technical stakeholders to support strategic decisions.
- Contribute to the broader machine learning community through knowledge sharing, collaboration, and engagement with internal and external research networks.
Requirements
- Strong foundational knowledge of machine learning, deep learning, natural language processing, natural language understanding, and text generation.
- Demonstrated experience tracking and interpreting scientific literature on LLMs and generative models.
- Expertise in one or more LLM post-training approaches, supported by practical knowledge of model adaptation, optimization, and evaluation.
- Experience leading machine learning projects from research and experimentation through model training, evaluation, and integration into production environments.
- Strong analytical and problem-solving abilities, with a research-oriented mindset.
- Excellent communication and collaboration skills.
- Demonstrated ability to work across multidisciplinary teams.
Preferred qualifications
- Research or practical experience in text summarization, generated-text quality assessment, or LLM-based evaluation methodologies, including LLM-as-a-judge techniques.
- Familiarity with computer vision and generative vision models, particularly diffusion models.
- Experience with recommendation systems, personalization algorithms, or other user-facing optimization systems.
- A track record of contributing to machine learning research communities.
Conditions
- Competitive annual compensation: Salary range of $300,000–$537,000, depending on location, professional background, skills, experience, and market conditions.
- Flexible compensation structure: Compensation is structured around annual salary and stock options, allowing eligible employees to choose their preferred salary-to-stock allocation each year. The position does not include bonuses.
- Comprehensive healthcare: Access to health insurance plans supporting employees' medical needs.
- Mental health support: Resources and programs designed to support mental well-being.
- Retirement savings: A 401(k) retirement plan with an employer match.
- Equity opportunities: Participation in a stock option program.
- Disability protection: Access to disability benefits and life and serious injury coverage.
- Health savings and spending accounts: Access to Health Savings Accounts (HSA) and Flexible Spending Accounts.