Research Engineer, Production Model Post Training Zürich, CH

Research Engineer, Production Model Post Training
About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for users and for society. Our team is a growing group of researchers, engineers, policy experts, and business leaders building beneficial AI systems.

Anthropic's production models undergo post-training processes to enhance capabilities, alignment, and safety. As a Research Engineer on the Post-Training team, you will train base models through the post-training stack to deliver production Claude models that users interact with.

You’ll work at the intersection of research and production engineering, implementing, scaling, and improving post-training techniques such as Constitutional AI, RLHF, and other alignment methodologies. Your work will impact the quality, safety, and capabilities of production models.

Note:

For this role, we conduct all interviews in Python. This role may require responding to incidents on short notice, including on weekends.

• Implement and optimize post-training techniques at scale on frontier models
• Conduct research to develop and optimize post-training recipes that directly improve production model quality
• Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation
• Develop tools to measure and improve model performance across various dimensions
• Collaborate with research teams to translate emerging techniques into production-ready implementations
• Debug complex issues in training pipelines and model behavior
• Help establish best practices for reliable, reproducible model post-training

• Thrive in controlled chaos and are energized, rather than overwhelmed, when juggling multiple urgent priorities
• Adapt quickly to changing priorities
• Maintain clarity when debugging complex, time-sensitive issues
• Have strong software engineering skills with experience building complex ML systems
• Are comfortable working with large-scale distributed systems and high-performance computing
• Have experience with training, fine-tuning, or evaluating large language models
• Can balance research exploration with engineering rigor and operational reliability
• Are adept at analyzing and debugging model training processes
• Enjoy collaborating across research and engineering disciplines
• Can navigate ambiguity and make progress in fast-moving research environments

• Have experience with LLMs
• Have a keen interest in AI safety and responsible deployment
• We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems. Proficiency in Python, deep learning frameworks, and distributed computing is required for this role.

Education requirements: We require at least a Bachelor’s degree in a related field or equivalent experience.

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in offices.

Visa sponsorship: We do sponsor visas. If we make you an offer, we will make reasonable efforts to obtain a visa, with support from an immigration professional.

We encourage you to apply even if you do not meet every single qualification. Not all strong candidates will meet every qualification as listed. We think AI systems have significant social and ethical implications, and we strive to include diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, recruiters contact candidates only from legitimate anthrophic email addresses.

Be cautious of emails from other domains. If unsure, visit  for confirmed position openings.

We pursue high-impact AI research as a cohesive team focused on a few large-scale efforts. We value impact and the long-term goals of steerable, trustworthy AI, and view AI research as an empirical science. We emphasize collaboration and strong communication across the team.

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a collaborative office space.