ML Engineer II: Vision-Language Fine-Tuning on AWS

Quevera; Herndon (VA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Employer-paid medical/dental/vision plan (100% coverage)

401(k) match up to 6%

$5,000 yearly for education/training/certification

Job summary

Quevera, located in Herndon, Virginia, is looking for a Software Engineer II to develop pipelines for Vision-Language Models and enhance multimodal model performance using AWS infrastructure. Candidates should have significant machine learning experience, particularly in fine-tuning large models and a strong capability in computer vision.

The position offers many benefits including full coverage health plans and a retirement match program.

Qualifications

• 5+ years of professional machine learning engineering experience focused on deep learning.
• 5+ years of experience with AWS ML infrastructure including SageMaker.
• Strong proficiency with PyTorch and the HuggingFace ecosystem.

Responsibilities

• Design and execute fine-tuning pipelines for Vision-Language Models.
• Develop evaluation frameworks for multimodal model performance.
• Build scalable training infrastructure on AWS for distributed fine-tuning.

Skills

Deep learning expertise

Fine-tuning large models

Python development

Knowledge of AWS infrastructure

Computer vision

MLOps experience

Tools

PyTorch

AWS SageMaker

Docker

Job description

Quevera, located in Herndon, Virginia, is looking for a Software Engineer II to develop pipelines for Vision-Language Models and enhance multimodal model performance using AWS infrastructure. Candidates should have significant machine learning experience, particularly in fine-tuning large models and a strong capability in computer vision.

The position offers many benefits including full coverage health plans and a retirement match program.