Research Engineer, Production Model Post-Training

Anthropic
Zurich
Workplace: OnsiteFull timeFunction: Manufacturing & Production OperationsEducation: bachelorsSkills: ["Python","Deep learning frameworks","Distributed computing","Large language models","RLHF","Constitutional AI"]

Research Engineer on the Post-Training team focusing on scaling and improving post-training techniques (e.g., Constitutional AI, RLHF) to produce safe, high-quality production Claude models. You’ll build and optimize post-training pipelines, run experiments, and collaborate with research and production teams to translate new methods into production-ready implementations, with Python-driven interviews and weekend incident readiness.

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FursaFursa
Anthropic
Anthropic
6 months ago

Research Engineer, Production Model Post-Training

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live

Job Summary

Research Engineer on the Post-Training team focusing on scaling and improving post-training techniques (e.g., Constitutional AI, RLHF) to produce safe, high-quality production Claude models. You’ll build and optimize post-training pipelines, run experiments, and collaborate with research and production teams to translate new methods into production-ready implementations, with Python-driven interviews and weekend incident readiness.
Location: Zurich
Workplace: Onsite
Employment Type: Full time
Job Function: Manufacturing & Production Operations

Key Responsibilities

  • •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.

Pay and Benefits

Perks:Parental LeaveEquity Donation

Key Requirements

  • •Strong software engineering skills with experience building complex ML systems.
  • •Experience with training, fine-tuning, or evaluating large language models.
  • •Comfortable working with large-scale distributed systems and high-performance computing.
  • •Proficiency in Python and deep learning frameworks; experience with distributed computing.
  • •Education: at least a Bachelor’s degree in a related field.
Education:Bachelor's
Skills:PythonDeep learning frameworksDistributed computingLarge language modelsRLHFConstitutional AI
Languages:English
Tech Stack:PythonDistributed computingDeep learningLLMsRLHFConstitutional AI

Company Brief

Anthropic
Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2021
WebsiteLinkedIn