ML Engineer - Multimodal AI & Production Systems (Equity)

Alpha Associates Recruitment; San Francisco (CA); On-site; USD 150,000 - 350,000; Full time

Job summary

Frontier AI in San Francisco is seeking a Machine Learning Engineer to join a high-growth team building multimodal datasets and foundation models. You will own core tasks from model development to production ML systems, working closely with frontier AI teams.

This role requires 2+ years of ML engineering experience, strong Python and PyTorch skills, and a solid grasp of dataset quality and model evaluation. Multimodal/video experience is a plus, equity is offered.

Qualifications

• 2+ years of ML engineering experience
• Strong Python, PyTorch and production ML experience
• Experience with modern foundation models
• Strong understanding of evaluation and dataset quality
• Experience with multimodal AI/video is a plus

Responsibilities

• Fine-tuning multimodal and vision-language models
• Building evaluation and QA systems
• Large-scale filtering, ranking and retrieval across video datasets
• Production ML pipelines and data quality systems
• Solving complex problems directly with frontier AI teams

Skills

Python

PyTorch

Production ML

Multimodal AI

Video datasets

Evaluation

Job description

Frontier AI in San Francisco is seeking a Machine Learning Engineer to join a high-growth team building multimodal datasets and foundation models. You will own core tasks from model development to production ML systems, working closely with frontier AI teams.

This role requires 2+ years of ML engineering experience, strong Python and PyTorch skills, and a solid grasp of dataset quality and model evaluation. Multimodal/video experience is a plus, equity is offered.