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Machine Learning Systems Engineer, RL Engineering - job 1 of 2

Anthropic is seeking a Machine Learning Systems Engineer to join their Reinforcement Learning Engineering team, focusing on developing robust systems for AI training.

Skills

  • Software engineering
  • High performance computing
  • Distributed systems
  • Python programming
  • Machine learning techniques

Responsibilities

  • Build, maintain, and improve algorithms and systems used for training AI models.
  • Enhance the performance, robustness, and usability of training systems.
  • Profile the reinforcement learning pipeline to find improvement opportunities.
  • Implement and improve large-scale distributed systems.
  • Diagnose and fix slowdowns in training runs.

Education

  • Bachelor's degree in a related field or equivalent experience

Benefits

  • Competitive compensation
  • Generous vacation and parental leave
  • Flexible working hours
  • Collaborative office environment
To read the complete job description, please click on the ‘Apply’ button
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Average salary estimate

$370000 / YEARLY (est.)
min
max
$315000K
$425000K

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Anthropic is an AI startup public-benefit company dedicated to AI safety and research, aiming to develop dependable, interpretable, and controllable AI systems. The company was was founded by former members of OpenAI in 2021.

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BADGES
Badge ChangemakerBadge Future MakerBadge InnovatorBadge Work&Life Balance
CULTURE VALUES
Inclusive & Diverse
Diversity of Opinions
Collaboration over Competition
Transparent & Candid
Passion for Exploration
Rapid Growth
Social Impact Driven
Mission Driven
BENEFITS & PERKS
Medical Insurance
Dental Insurance
Vision Insurance
Maternity Leave
Paternity Leave
Paid Time-Off
Equity
401K Matching
Commuter Benefits
Learning & Development
WFH Reimbursements
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
INDUSTRY
TEAM SIZE
SALARY RANGE
$315,000/yr - $425,000/yr
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
March 13, 2025

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