Forward Deployed Engineer - LLM Post-training
Reflection3 months ago
San Francisco, CA, USA or New York, NY, USAMid Level / Senior
H1B Sponsor
Responsibilities
- Fine-tune open-weight models for customer-specific use cases.
- Build and maintain evaluation infrastructure for model performance.
- Prepare training data from raw customer inputs and ensure data quality.
- Debug and diagnose training and inference issues effectively.
- Support end-to-end deployments of fine-tuned models across various environments.
- Contribute to evolving playbooks and best practices for fine-tuning and evaluations.
Requirements
- Applied ML experience with hands-on fine-tuning of language models.
- Understanding of evaluation methodology and model performance assessment.
- Comfort with training infrastructure and debugging training failures.
- Strong software engineering fundamentals in Python and clean coding practices.
- 3+ years of engineering experience in applied ML or ML engineering roles.
- Demonstrated ability to work in customer-facing environments and translate needs into training strategies.
- Self-starter with high agency and ownership in fast-paced environments.
Benefits
- Top-tier compensation including salary and equity.
- Comprehensive medical, dental, vision, life, and disability insurance.
- Fully paid parental leave for all new parents and financial support for family planning.
- Paid time off and relocation support for work-life balance.
- Daily lunch and dinner provided, along with regular team off-sites and celebrations.