Full-Time

Research Engineer

Horizons

Posted on 9/26/2024

Anthropic

Anthropic

1,001-5,000 employees

AI research and development for reliable systems

Enterprise Software
AI & Machine Learning

Compensation Overview

£240k - £500kAnnually

Senior

H1B Sponsorship Available

London, UK

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
AI Research
AI & Machine Learning
Required Skills
Kubernetes
Python
Pytorch
Requirements
  • 5+ years of industry-related experience
  • Proficient in Python and have experience with deep learning frameworks such as PyTorch or Jax
  • Strong software engineering background
  • Interest in working closely with researchers and other engineers
  • Enjoy pair programming
  • Care about code quality, testing, and performance
  • Passionate about the potential impact of AI and committed to developing safe and beneficial systems
  • Strong background in machine learning, reinforcement learning, or high performance computing (strong candidates)
  • Experience with virtualization and sandboxed code execution environments (strong candidates)
  • Experience with Kubernetes (strong candidates)
  • Contributed to open-source projects or published research papers in relevant fields (strong candidates)
  • No formal certifications or education credentials required
  • No experience with LLMs or machine learning research before required
Responsibilities
  • Develop and implement novel reinforcement learning techniques to improve the performance and safety of large language models.
  • Create tools and environments for models to interact with, enabling them to perform complex, open-ended tasks.
  • Design and run experiments to enhance models' reasoning capabilities, particularly in code generation and mathematics.

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, 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

52%

1 year growth

283%

2 year growth

1205%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing trend towards AI systems managing information benefits Anthropic's AI solutions.
  • Amazon's AGI SF Lab suggests potential for enhancing Claude's capabilities.
  • Swift Ventures' AI index aligns with Anthropic's focus on AI safety and reliability.

What critics are saying

  • Increased competition from Google's Gemini 2.0 challenges Anthropic's market position.
  • OpenAI's new features may attract users away from Anthropic's Claude.
  • Slack's AI integration could overshadow Claude's capabilities.

What makes Anthropic unique

  • Anthropic focuses on AI safety, transparency, and alignment with human values.
  • Claude, Anthropic's AI assistant, handles tasks of any scale across industries.
  • Anthropic emphasizes reliable, interpretable, and steerable AI systems.

Help us improve and share your feedback! Did you find this helpful?

INACTIVE