Full-Time

Machine Learning Infrastructure Engineer

Core Resources

Posted on 8/6/2024

Anthropic

Anthropic

1,001-5,000 employees

Develops reliable and interpretable AI systems

Enterprise Software
AI & Machine Learning

Compensation Overview

$320k - $405kAnnually

Senior

H1B Sponsorship Available

Seattle, WA, USA + 2 more

More locations: San Francisco, CA, USA | New York, NY, USA

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.

Category
AI & Machine Learning
DevOps & Infrastructure
Platform Engineering
Required Skills
Kubernetes
Python
Requirements
  • Have 8+ years of software engineering experience
  • High performance, large scale distributed systems
  • Kubernetes
  • Python
  • Machine learning
  • LLM inference
Responsibilities
  • optimizing infrastructure that our researchers depend on to train models
  • improving the performance, robustness, usability, and efficiency of these systems
  • supporting and empowering our research teams in the mission to build beneficial AI systems
  • embedding with our Inference team to execute high-priority efficiency projects
  • building comprehensive telemetry and reporting of compute occupancy and utilization metrics across inference, training, and research workloads
  • identifying and scoping efficiency opportunities and leading execution alongside partner teams
  • optimizing system performance across a broad set of applications from LLM training to frontier research

Anthropic focuses on creating reliable and interpretable AI systems. Its main product, Claude, serves as an AI assistant capable of managing 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, as well as providing specialized research and development services.

Company Stage

Growth Equity (Venture Capital)

Total Funding

$11.5B

Headquarters

San Francisco, California

Founded

2021

Growth & Insights
Headcount

6 month growth

64%

1 year growth

313%

2 year growth

1309%
Simplify Jobs

Simplify's Take

What believers are saying

  • Claude's coding-related revenue surged 1,000% in the last three months.
  • Anthropic's acquisition of Claude.com could enhance brand recognition and digital presence.
  • Increased demand for AI safety tools boosts Anthropic's market position.

What critics are saying

  • Potential misuse of Claude by competitors for model training poses a threat.
  • Over-reliance on Claude in software development could lead to vulnerabilities.
  • Security vulnerabilities like electromagnetic signal theft risk Claude's data integrity.

What makes Anthropic unique

  • Anthropic focuses on AI safety, transparency, and alignment with human values.
  • Claude is designed to handle tasks at any scale, enhancing operational efficiency.
  • Anthropic emphasizes reliable, interpretable, and steerable AI systems.

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