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Full-Time

Machine Learning Engineer

Trust & Safety

Confirmed live in the last 24 hours

Anthropic

Anthropic

501-1,000 employees

Develops reliable, interpretable AI systems

Consulting
Hardware
Enterprise Software
AI & Machine Learning

Compensation Overview

$300k - $405kAnnually

+ Equity

Mid, Senior

San Francisco, CA, USA + 1 more

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Python
SQL
Data Analysis
Requirements
  • Have 4+ years of experience in a research/ML engineering or an applied research scientist position, preferably with a focus on trust and safety.
  • Have proficiency in SQL, Python, and data analysis/data mining tools.
  • Have proficiency in building trust and safety AI/ML systems, such as behavioral classifiers or anomaly detection.
  • Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders.
  • Care about the societal impacts and long-term implications of your work.
Responsibilities
  • Build machine learning models to detect unwanted or anomalous behaviors from users and API partners, and integrate them into our production system
  • Improve our automated detection and enforcement systems as needed
  • Analyze user reports of inappropriate accounts and build machine learning models to detect similar instances proactively
  • Surface abuse patterns to our research teams to harden models at the training stage

Anthropic is at the forefront of building reliable and interpretable AI systems, making it an appealing place to work for those passionate about advancing natural language processing, human feedback, reinforcement learning, and code generation. Employees have the opportunity to engage in cutting-edge research and development, contributing significantly to the field and ensuring AI technologies are both effective and responsible. Working in such an innovative environment encourages professional growth and collaboration among experts in AI research.

Company Stage

Series B

Total Funding

$5.8B

Headquarters

San Francisco, California

Founded

2021

Growth & Insights
Headcount

6 month growth

75%

1 year growth

226%

2 year growth

957%
Simplify Jobs

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.