Research Engineer: Multimodal AI & Video Agents

Mirage; New York (NY); Vor Ort; USD 175.000 - 300.000; Vollzeit

Benefits dieser Stelle

Medical plan

Dental plan

Vision plan

401K match

Commuter benefits

Catered lunch

Dinner stipend

Grubhub

Wellness perks

Team offsites

Generous PTO

Zusammenfassung

Mirage in New York City seeks an ML Engineer to push the boundaries of large language models for multimodal creative tasks. You will develop agentic systems that understand and operate over complex, real-world data, particularly video.

This role focuses on advancing agent capabilities, improving reasoning and control, and enabling new forms of interaction between language models and time-based media. You will collaborate with the NYC HQ team.

Qualifikationen

• Strong track record building production ML systems or agentic pipelines.
• Deep understanding of transformers and modern LLM techniques.
• Experience with fine-tuning, alignment, or post-training methods.
• Comfort owning the full stack, from model-level experiments to deployed agent systems.
• Rigorous experimentation and practical judgment for making agents work.

Aufgaben

• Design end-to-end agentic systems for creative tasks.
• Develop novel approaches for training/adapting large language models powering agents.
• Design objectives, datasets, and fine-tuning strategies to improve agent behavior and reliability.
• Explore multimodal reasoning and structured generation for creative control.
• Run systematic experiments to evaluate agent performance in real-world tasks.
• Design evaluation frameworks for agentic workflows in video analysis/editing.
• Analyze failure modes across the full agent loop and iterate.

Kenntnisse

Transformers

LLM

Fine-tuning

Alignment

Agentic pipelines

Ausbildung

BS/MS/PhD in CS/ML or related field

Jobbeschreibung

Mirage in New York City seeks an ML Engineer to push the boundaries of large language models for multimodal creative tasks. You will develop agentic systems that understand and operate over complex, real-world data, particularly video.

This role focuses on advancing agent capabilities, improving reasoning and control, and enabling new forms of interaction between language models and time-based media. You will collaborate with the NYC HQ team.