Enterprise LLM Fine-Tuning Engineer (Open Weights)

Reflection; New York (NY); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Top-tier compensation

Comprehensive medical, dental, and vision insurance

Fully paid parental leave

Paid time off

Regular team celebrations

Job summary

Reflection is seeking an ML Engineer in New York to enhance their open-weight models for enterprise customers. The role involves fine-tuning models, debugging training issues, and building evaluation infrastructure. Candidates should have at least 3 years of experience in applied ML, strong Python skills, and a track record of customer engagement. Reflection offers top-tier compensation, comprehensive health benefits, and a supportive work environment focused on impactful contributions.

Qualifications

• Hands-on fine-tuning of language models with experience in dataset preparation and training loops.
• Ability to design evaluations and interpret training results.
• Familiarity with GPUs, compute management, and debugging training issues.
• Strong command of Python and experience with data pipelines.
• Minimum 3 years in ML engineering or similar roles.
• Experience translating user needs into training strategies.
• Proven self-starter in fast-paced environments.

Responsibilities

• Fine-tune models for customer-specific use cases.
• Build and maintain evaluation infrastructure.
• Prepare and clean training data from raw inputs.
• Debug training and inference issues.
• Support deployments across hybrid environments.
• Contribute to best practices and evolving playbooks.

Skills

Applied ML experience

Evaluation methodology

Training infrastructure

Software engineering fundamentals (Python)

3+ years of engineering experience

Customer-facing environments

Self-starter with high agency

Job description

Reflection is seeking an ML Engineer in New York to enhance their open-weight models for enterprise customers. The role involves fine-tuning models, debugging training issues, and building evaluation infrastructure. Candidates should have at least 3 years of experience in applied ML, strong Python skills, and a track record of customer engagement. Reflection offers top-tier compensation, comprehensive health benefits, and a supportive work environment focused on impactful contributions.