Enterprise LLM Fine-Tuning Engineer

B Capital; San Francisco (CA); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Top-tier compensation

Comprehensive medical, dental, vision insurance

Fully paid parental leave

Paid time off

Daily lunch and dinner provided

Job summary

B Capital is seeking a Machine Learning Engineer in San Francisco to join its Applied AI team. This role involves fine-tuning AI models for enterprise clients, preparing training data, and directly collaborating with customers to tailor solutions to their needs. The ideal candidate will have over 3 years of engineering experience and hands-on ML expertise, particularly in fine-tuning language models. A competitive salary and comprehensive benefits package are included, along with opportunities for professional growth.

Qualifications

• Hands-on fine-tuning of language models with experience in SFT, DPO, RLHF.
• Ability to design evaluation methodologies and interpret training graphs.
• Experience with data pipelines and version control.

Responsibilities

• Fine-tune Reflection's 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 quality.

Skills

Applied ML experience

Understanding of evaluation methodology

Comfort with training infrastructure

Strong software engineering fundamentals

3+ years of engineering experience

Customer-facing environments

Self-starter and high ownership

Tools

Python

GPUs

Job description

B Capital is seeking a Machine Learning Engineer in San Francisco to join its Applied AI team. This role involves fine-tuning AI models for enterprise clients, preparing training data, and directly collaborating with customers to tailor solutions to their needs. The ideal candidate will have over 3 years of engineering experience and hands-on ML expertise, particularly in fine-tuning language models. A competitive salary and comprehensive benefits package are included, along with opportunities for professional growth.