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Software Engineer, Applied AI

Builds and operates scalable data pipelines and systems for post-training workflows, model evaluations, and synthetic data generation. Partners with frontier AI labs and customers, requiring strong backend skills in Python/Go/Rust and ML evaluation expertise.

130k – 500kSan Francisco, CAML EngineeringOnsite

About the role

What You’ll Do

  • Partner closely with frontier AI labs to understand their data, post-training, and evaluation needs
  • Build and operate scalable data pipelines for post-training workflows and model evaluations
  • Design and build scalable systems for synthetic data generation and data quality, and work directly with customers to understand requirements and develop technical solutions
  • Prototype new data types, benchmarks, and evaluation frameworks
  • Lead technical discussions with customers

What We’re Looking For

Strong backend engineering fundamentals in a modern language (Python, Go, Rust, etc.)

  • Experience with model training and inference
  • Strong grounding in statistical analysis and experimental design for measuring model performance and improvements
  • Familiarity with evaluation methods for large language models
  • Comfort working through ambiguity and shipping iteratively

You’re likely someone who:

  • Enjoys ownership and customer-facing problem solving
  • Thinks entrepreneurially and moves quickly
  • Balances speed with engineering rigor
  • Communicates clearly with technical and non-technical users

Benefits

  • Bi-annual performance bonus structure
  • Generous equity grant vested over 4 years
  • Up to $15k Relocation bonus
  • $10K housing bonus (if you live within 0.5 miles of our office)
  • $1.5K monthly stipend for meals
  • Free Equinox membership
  • $200 monthly laundry reimbursement
  • $200 monthly personal wellness reimbursement
  • Health, Dental, Vision insurance

Skills

PythonGoRustModel TrainingModel InferenceStatistical AnalysisExperimental DesignLLMsData PipelinesSynthetic Data Generation

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