About the company
Our client is an early-stage AI software company.
The role
Raydar is recruiting for this role on behalf of our client. Own applied machine learning research from initial hypothesis through training, evaluation and deployment. Work on post-training and learning methods for language and multimodal models, and help set research priorities as an early team member.
What you'll do
- Run experiments and train large AI models, carrying ideas from hypothesis through data preparation, training, evaluation and deployment.
- Post-train language and multimodal models using reinforcement learning and continual learning techniques.
- Work with large behavioral and screen-based datasets to build models that learn individual usage patterns.
- Design and carry out rigorous experiments to strengthen the core models behind autonomous agents.
- Help shape research priorities and technical architecture as an early member of the team.
Requirements
What we're looking for
- A record of running experiments and improving model performance, beyond publishing papers.
- Hands-on research experience with large language models, especially post-training or reinforcement learning.
- Practical background in applied research or research engineering, shown through end-to-end system work or large experimental programs.
- Familiarity with advanced modeling approaches, such as learned representations or pre-training for visual models.
- Current PhD students are welcome if their research focuses on reinforcement learning, post-training or language models.
- Candidates with a Bachelors or Masters degree are considered when they bring a strong research background from an AI lab.
- Comfort working in Python and PyTorch.
Benefits
Compensation and benefits
- Base salary: USD 300,000 to 600,000 per year
- Equity
- Relocation support
Location and work model
- San Francisco, CA, United States
- On-site, 5 days per week in office
- Full-time
Skills Required
- Record of running experiments and improving model performance beyond publishing papers
- Hands-on research experience with large language models, especially post-training or reinforcement learning
- Practical background in applied research or research engineering through end-to-end system work or large experimental programs
- Familiarity with advanced modeling approaches, such as learned representations or visual-model pre-training
- Current PhD research focused on reinforcement learning, post-training, or language models
- Bachelor's or Master's degree with a strong research background from an AI lab
- Proficiency with Python and PyTorch
What We Do
Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.
