Senior+ Software Engineer, Research Tools at Anthropic

San Francisco, California, United States

Anthropic Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
AI, Technology, ResearchIndustries

Requirements

  • 5+ years of software engineering experience with a strong focus on full-stack development
  • Excel at rapid iteration and shipping—can move from concept to working prototype quickly
  • Experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.)
  • Demonstrate high agency and ability to operate independently in ambiguous environments
  • Can quickly develop deep understanding of complex technical domains
  • Have strong product instincts and can identify the right problems to solve
  • Proficient with modern web technologies (React, TypeScript, Python, etc.)
  • Have a track record of building user-facing applications that are actually used and loved by their target audience
  • Communicate effectively with both technical and non-technical stakeholders
  • Care about the societal impacts of your work and are motivated by Anthropic's mission

Responsibilities

  • Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results
  • Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions
  • Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient
  • Create reusable platforms and tools that accelerate the development of new research applications
  • Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage
  • Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration
  • Contribute to technical strategy and architectural decisions for research tooling
  • Mentor other engineers and help establish best practices for research application development

Skills

Full-Stack Engineering
Product Thinking
Infrastructure
UI Design
Experiment Orchestration
Data Visualization
Python
React
AWS
Docker

Anthropic

Develops reliable and interpretable AI systems

About Anthropic

Anthropic focuses on creating reliable and interpretable AI systems. Its main product, Claude, serves as an AI assistant that can manage tasks for clients across various industries. Claude utilizes advanced techniques in natural language processing, reinforcement learning, and code generation to perform its functions effectively. What sets Anthropic apart from its competitors is its emphasis on making AI systems that are not only powerful but also understandable and controllable by users. The company's goal is to enhance operational efficiency and improve decision-making for its clients through the deployment and licensing of its AI technologies.

San Francisco, CaliforniaHeadquarters
2021Year Founded
$11,482.1MTotal Funding
GROWTH_EQUITY_VCCompany Stage
Enterprise Software, AI & Machine LearningIndustries
1,001-5,000Employees

Benefits

Flexible Work Hours
Paid Vacation
Parental Leave
Hybrid Work Options
Company Equity

Risks

Ongoing lawsuit with Concord Music Group could lead to financial liabilities.
Technological lag behind competitors like OpenAI may impact market position.
Reliance on substantial funding rounds may indicate financial instability.

Differentiation

Anthropic focuses on AI safety, contrasting with competitors' commercial priorities.
Claude, Anthropic's AI assistant, is designed for tasks of any scale.
Partnerships with tech giants like Panasonic and Amazon enhance Anthropic's strategic positioning.

Upsides

Anthropic's $60 billion valuation reflects strong investor confidence and growth potential.
Collaborations like the Umi app with Panasonic tap into the growing wellness AI market.
Focus on AI safety aligns with increasing industry emphasis on ethical AI development.

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