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

Key technologies and capabilities for this role

PythonMachine LearningReinforcement LearningData PipelinesRL EnvironmentsData CreationEvaluation SystemsDocument Manipulation

Questions & Answers

Common questions about this position

What is the salary range for this Staff Machine Learning Engineer position?

The expected base compensation is $340,000 - $560,000 USD annually. Total compensation includes equity, benefits, and may include incentive compensation.

Is this role remote or does it require office work?

This information is not specified in the job description.

What skills are required for this Machine Learning Engineer role?

Candidates need to be a very experienced Python programmer capable of producing reliable, high-quality code, have strong machine learning experience, thrive at the research-product intersection with a pragmatic approach, be comfortable with ambiguity, enjoy cross-team collaboration, and care about helpful AI for enterprise workflows.

What is the company culture like at Anthropic?

Anthropic is a quickly growing team of committed researchers, engineers, policy experts, and business leaders working together to build safe, beneficial AI systems.

What makes a strong candidate for this role?

Strong candidates have experience with building human-in-the-loop training systems, working with enterprise tools like Google Workspace and Slack, developing evaluation frameworks, domain expertise in finance/legal/healthcare, scalable data pipelines, reward modeling, and translating product requirements into training objectives.

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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