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Full-Time

Machine Learning Systems Engineer

RL Engineering

Confirmed live in the last 24 hours

Anthropic

Anthropic

501-1,000 employees

AI research and development for reliable systems

Enterprise Software
AI & Machine Learning

Compensation Overview

$300k - $425kAnnually

Entry, Junior

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
Applied Machine Learning
Deep Learning
AI & Machine Learning
Software Engineering
Required Skills
Kubernetes
Python
Requirements
  • Have 2+ years of software engineering experience
  • Like working on systems and tools that make other people more productive
  • Are results-oriented, with a bias towards flexibility and impact
  • Pick up slack, even if it goes outside your job description
  • Enjoy pair programming (we love to pair!)
  • Want to learn more about machine learning research
  • Care about the societal impacts of your work
  • High performance, large scale distributed systems
  • Kubernetes
  • Python
  • Implementing LLM finetuning algorithms, such as RLHF
Responsibilities
  • Build, maintain, and improve the algorithms and systems that researchers use to train models
  • Improve the speed, reliability, and ease-of-use of these systems
  • Profile reinforcement learning pipeline to find opportunities for improvement
  • Build a system that regularly launches training jobs in a test environment
  • Make changes to finetuning systems so they work on new model architectures
  • Build instrumentation to detect and eliminate Python GIL contention in training code
  • Diagnose why training runs have started slowing down after some number of steps, and fix it
  • Implement a stable, fast version of a new training algorithm proposed by a researcher

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.

Company Stage

Series B

Total Funding

$5.8B

Headquarters

San Francisco, California

Founded

2021

Growth & Insights
Headcount

6 month growth

83%

1 year growth

348%

2 year growth

1194%
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Simplify's Take

What believers are saying

  • The $450 million Series C financing round underscores strong investor confidence in Anthropic's growth potential.
  • The launch of Claude Pro, a subscription-based version of its generative AI model, opens new revenue streams and enhances user engagement.
  • Anthropic's collaboration with Menlo Ventures to launch the $100 million Anthology Fund positions it as a key player in accelerating AI startup innovation.

What critics are saying

  • The competitive landscape in generative AI is intensifying, with rivals like OpenAI and Cohere continuously releasing more powerful models.
  • The rapid expansion and scaling efforts, such as launching new apps and funds, may strain Anthropic's resources and operational capabilities.

What makes Anthropic unique

  • Anthropic's focus on responsible AI deployment, including measures like invisible watermarks, sets it apart in the AI landscape.
  • The launch of the $100 million Anthology Fund in collaboration with Menlo Ventures highlights Anthropic's commitment to fostering AI innovation.
  • Anthropic's multi-platform support for its Claude AI app, including vision capabilities, offers a seamless user experience across web, iOS, and Android.

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