Performance Engineer at Anthropic

Seattle, Washington, United States

Apply Now

$315,000 – $560,000Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Machine LearningIndustries

Requirements

Significant software engineering or machine learning experience, particularly at supercomputing scale
Results-oriented, with a bias towards flexibility and impact
Ability to pick up slack and contribute beyond defined job responsibilities
Enjoy pair programming
Interest in learning more about machine learning research
Concern for the societal impacts of AI development

Responsibilities

Identify novel systems problems related to ML algorithm performance
Develop systems to optimize the throughput and robustness of distributed systems
Implement low-latency, high-throughput sampling for large language models
Implement GPU kernels to adapt models for low-precision inference
Write custom load-balancing algorithms to optimize serving efficiency
Build quantitative models of system performance
Design and implement fault-tolerant distributed systems with complex network topologies
Debug kernel-level network latency spikes in a containerized environment

Skills

Key technologies and capabilities for this role

Distributed SystemsMachine LearningGPU ProgrammingAccelerator ProgrammingML FrameworksOS InternalsTransformersGPU KernelsLoad BalancingFault-Tolerant SystemsLow-Precision InferenceNetwork Topologies

Questions & Answers

Common questions about this position

What is the salary range for the Performance Engineer position?

The salary range is $315,000 - $560,000 USD annually.

Is this role remote or hybrid, and what are the office requirements?

The role is hybrid, with all staff expected to be in one of the offices at least 25% of the time.

What skills are required for the Performance Engineer role?

Required skills include significant software engineering or machine learning experience at supercomputing scale, results-oriented mindset with flexibility and impact focus, ability to contribute beyond responsibilities, enjoyment of pair programming, interest in ML research, and concern for AI's societal impacts.

What is the company culture like at Anthropic?

Anthropic has a quickly growing team of committed researchers, engineers, policy experts, and business leaders collaborating to build beneficial AI systems, with a mission to create reliable, interpretable, and steerable AI that is safe for users and society.

What makes a strong candidate for this Performance Engineer role?

Strong candidates have a track record of solving large-scale systems problems, experience with high performance large-scale ML systems, GPU programming, ML framework internals, OS internals, or transformers, plus interest in ML research; applicants are encouraged to apply even if they don’t meet every qualification.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free