Research Engineer / Scientist, Pre-training
Anthropic · Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY · San Francisco, CA
Frontier labremote
At a glance
Highlights
- Develop next-generation large language models for safe, steerable AI.
- Scale distributed training jobs to thousands of GPUs.
- Optimize throughput of novel attention mechanisms.
What they offer
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
Ideal candidate
Results-oriented engineer-researcher who blends research curiosity with pragmatic building, thrives in collaborative large-scale science, and cares deeply about safe, aligned AI.
Requirements
- Advanced degree (MS or PhD) in Computer Science, Machine Learning, or related field
- Strong software engineering skills with track record building complex systems
- Expertise in Python and deep learning frameworks (PyTorch preferred)
- Familiarity with large-scale machine learning, particularly language models
- Ability to balance research goals with practical engineering constraints
- Strong problem-solving skills and results-oriented mindset
- Excellent communication skills and collaborative work ability
Lab profile
About Anthropic
AI safety company building reliable, interpretable and steerable frontier AI systems.
What they build
- Claude
- Claude API
- Claude Code
Known for
- AI safety and alignment
- Model interpretability research
- Frontier LLM development
Key facts
- Founded in 2021
- Headquartered in San Francisco, California
- Backed by Amazon and Google
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