Remote AI Data Scientist — High-Impact ML & Alignment

AE Studio

United States

Remote

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Remote-first culture
Flexible schedules
Competitive pay with equity
Growth opportunities
Supportive environment
Weekly knowledge talks
Annual team retreat

Job summary

AE Studio builds products, platforms, and internal ventures that increase agency for all conscious beings. You will work as a Data Scientist on client projects and internal research, building data-driven solutions and ML models that matter.

You’ll explore high-impact AI alignment research, collaborate across teams, and propose skunkworks initiatives that could become prioritized projects.

Qualifications

  • Fluent Python for data work and ML pipelines.
  • Experience with LLM lifecycles including prompting and vector stores.
  • Proven data science track record delivering impact.
  • Strong statistical, causal ML, and model evaluation skills.
  • Deep learning expertise in NLP or CV with PyTorch/TF/JAX.
  • Experience with Agile development and AI tools.
  • Growth mindset and self-management in independent or team settings.
  • Clear communication in English.
  • Product and UX awareness to ship user-friendly solutions.

Responsibilities

  • Solve real-world problems with data-driven solutions.
  • Build and evaluate ML models for client and internal research.
  • Lead and contribute to high-impact AI alignment projects.
  • Collaborate across teams to ship meaningful features.

Skills

Python
LLM lifecycle
Data science
Statistical & causal ML
Deep learning
Agile & AI tools
Growth mindset
Self-management
Product & UX understanding
English communication

Tools

PyTorch
TensorFlow
JAX

Job description

AE Studio builds products, platforms, and internal ventures that increase agency for all conscious beings. You will work as a Data Scientist on client projects and internal research, building data-driven solutions and ML models that matter.

You’ll explore high-impact AI alignment research, collaborate across teams, and propose skunkworks initiatives that could become prioritized projects.

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