Member of Technical Staff Post Training

You will build systems that transform pre-trained models into aligned and general agents. You will develop data-generation pipelines, reward models, reinforcement-learning algorithms, and inference-time scaling techniques, while collaborating across pre-training and post-training work to improve model capabilities.

Responsibilities

• Build systems that transform pre-trained models into aligned and general agents.
• Drive post-training research and engineering initiatives.
• Develop data-generation pipelines, reward models, reinforcement-learning algorithms, and inference-time scaling techniques.
• Collaborate across pre-training and post-training work to improve model capability.
• Advance understanding of model reasoning, instruction following, and reinforcement learning.

Requirements

• Machine learning fundamentals and practical experience with large-scale LLM training.
• Engineering skills in complex machine-learning codebases and distributed systems.
• Experience improving model behavior through data, reward modeling, or reinforcement-learning techniques.
• Experience owning research or engineering agendas that produced measurable model improvements.
• Ability to work across research and infrastructure boundaries.
• Communication and collaborative working skills.

Benefits

• Stock options.
• Comprehensive medical, dental, vision, and life insurance.
• Annual wellness allowance.
• Daily in-office lunch and dinner.
• 22 weeks of paid parental leave.
• Unlimited paid time off in the U.S. and 30 days in the U.K.
• Visa sponsorship and long-term immigration-pathway support where applicable.
• Regular off-sites, happy hours, and team celebrations.