Member of Technical Staff - Research

• Own Post-Training Strategy: Drive the post-training roadmap (fine-tuning, preference optimization, reward modeling, RL, distillation) to make models more capable, reliable, and aligned.
• Push Efficiency & Evals: Make models serve reliably at scale, and build the benchmarks that measure quality and catch regressions.
• Ground Research in Reality: Turn our security experts' tradecraft into model capabilities and ship your techniques into production.
• Stay at the Frontier: Track post-training and efficiency research and bring the best ideas in.
• Research Pedigree: PhD in CS, ML, or related field, or equivalent experience with a strong track record.
• Post-Training Depth: Hands-on experience with SFT, RLHF/RLAIF, DPO, and reward modeling.
• Practical Results: You train, fine-tune, and evaluate models, and make research work in practice.
• Engineering Strength: You implement your own ideas and run them at scale.
• Range & Judgment: You drive strategy broadly or go deep on one hard problem as needed.
• Collaboration: You work well across teams and care about the outcome, not just your slice.
• Even Better With
• Publications in top ML venues (e.g., NeurIPS, ICML, ICLR, ACL).
• RL, preference optimization, or reward modeling at scale.
• Research from prototype to production in a fast-moving company.
• Enterprise products built for reliability, scale, and trust.
• Benefits & Perks | FTE
• Meaningful Equity Ownership
• In-Office Meals
• Haircuts at the Office
• Company Sponsored Conferences & Events
• Flexible PTO

None flagged.