Research Engineer, Large-Scale ML Systems (Hybrid)

Anthropic
New York, US
Hybrid

Why this role

Pace
Fast Paced
Collaboration
High
Autonomy
High
Decision Impact
Team
Role Level
Team Lead

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Design and run scientific experiments
  • Contribute to cross-functional teams
Typical background
Significant software engineering experienceInterest in societal impacts of AI

Transferable backgrounds

  • Coming from Research Engineer
  • Coming from Machine Learning Engineer

Skills & requirements

Required

Software Engineering ExperienceOptimizing Performance Of ML SystemsContributing To Cross-functional Teams

Preferred

Experience With Societal Impacts Of AIExpertise In Large-scale ML Systems

Stack & domain

Software EngineeringAi SystemsScientific ExperimentsMl SystemsCross-functional TeamsSocietal Impacts Of AiCommunicationInterpersonalWorld-class Interpersonal And Communication SkillsResearchEngineering

About the role

Original posting from Anthropic

Anthropic is seeking a Research Engineer to help develop reliable and steerable AI systems. The role involves designing and running scientific experiments, optimizing performance of ML systems, and contributing to cross-functional teams. Candidates should have significant software engineering experience and a desire to engage with societal impacts of AI. The position offers a competitive annual salary range of $350,000—$500,000 USD along with benefits like flexible working hours and generous vacation policies.

Source: Anthropic careers

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