Member of Technical Staff - Post-Training
Reflection11 months ago
Responsibilities
- Build systems that transform pretrained models into aligned and general agents.
- Drive research and engineering initiatives in post-training, including data curation and large-scale optimization.
- Develop data-generation pipelines, reward models, reinforcement-learning algorithms, and inference-time scaling techniques.
- Collaborate with pre-training and post-training teams to deliver substantial gains in model capability.
- Advance understanding of how large models learn to reason, follow instructions, and improve through reinforcement learning.
Requirements
- Deep understanding of machine-learning fundamentals and practical experience with large-scale LLM training.
- Strong engineering skills and comfort working in complex machine-learning codebases and distributed systems.
- Experience improving model behavior through data, reward modeling, or reinforcement-learning techniques.
- Evidence of owning ambitious research or engineering agendas that produced measurable model improvements.
- Ability to work across research and infrastructure boundaries in a fast-paced startup environment.
- Strong communication and collaboration skills, with a passion for advancing the frontier of intelligence.
Benefits
- Top-tier compensation and equity, with no specific base salary stated.
- Comprehensive medical, dental, vision, life, and disability insurance.
- Fully paid parental leave for all new parents, including adoptive and surrogate journeys, plus family-planning financial support.
- Paid time off and relocation support.
- Daily lunch and dinner, regular off-sites, and team celebrations.
Categories
AI ResearchML Engineering
About Reflection
Reflection is a research lab making intelligence open and accessible for everyone to use, customize, and build on. Our team previously built frontier LLMs at labs like DeepMind, OpenAI, and Anthropic. We believe AI should be built in the open, with transparent research and collaborative development. That means giving enterprises, governments, and sovereign entities true ownership and control of AI that performs at the highest level. Our mission: make intelligence open and accessible to all.