Staff Machine Learning Engineer, Virtual Collaborator at Anthropic

San Francisco, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, TechnologyIndustries

Requirements

Very experienced Python programmer who can quickly produce reliable, high-quality code that teammates love using
Strong machine learning experience
Thrive at the intersection of research and product, with a pragmatic approach to solving real-world problems
Comfortable with ambiguity and can balance research rigor with shipping deadlines
Enjoy collaborating across multiple teams (data operations, model training, product)
Can context-switch between research problems and product engineering tasks
Care about making AI genuinely helpful for everyday enterprise workflows
At least a Bachelor's degree in a related field or equivalent experience

Responsibilities

Designing and implementing reinforcement learning pipelines specifically targeted at virtual collaborator use cases (productivity, organizational navigation, vertical domains)
Building and scaling our data creation platform for generating high-quality, open-ended tasks with domain experts and crowdworkers
Integrating real organizational data to create authentic training environments
Developing robust rubric-based evaluation systems that maintain quality while avoiding reward hacking
Training Claude on advanced document manipulation, including understanding, enhancing, and co-creating
Partnering directly with product teams to ensure training aligns with shipped features

Skills

Python

Machine Learning

Reinforcement Learning

Data Pipelines

RL Environments

Data Creation

Evaluation Systems

Document Manipulation

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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