Anthropic

Research Engineer / Scientist, Alignment Science

San Francisco, California, United States

Anthropic Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, ResearchIndustries

Requirements

Candidates should possess significant software, ML, or research engineering experience, along with some experience contributing to empirical AI research projects. Familiarity with machine learning techniques and research methodologies is expected, and a strong background in computer science or a related field is preferred.

Responsibilities

As a Research Engineer, you will build and run elegant and thorough machine learning experiments to understand and steer the behavior of powerful AI systems, focusing on AI safety and risks from future systems. You will contribute to exploratory experimental research, often in collaboration with other teams, and develop techniques for scalable oversight, AI control, and alignment stress-testing. Specifically, you will conduct projects such as testing the robustness of safety techniques, running multi-agent reinforcement learning experiments, building tooling to evaluate jailbreaks, writing scripts and prompts for evaluation questions, and contributing to research papers, blog posts, and talks. You will also run experiments that feed into key AI safety efforts, like the design and implementation of Anthropic's Responsible Scaling Policy.

Skills

Software Engineering
Machine Learning
Research Engineering
Empirical AI Research
AI Safety
Reinforcement Learning
Prompt Engineering
Evaluation Techniques
Multi-agent Systems
Language Models

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.

Key Metrics

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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