2 дня назад
ML Engineer (AI)
175 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
ML Engineer (AI): Building agentic systems that understand and operate on complex video data, with an accent on multimodal reasoning, structured generation, and large language model adaptation. Focus on designing training objectives and evaluation frameworks, analyzing agent failure modes, and improving planning, tool use, and execution reliability.
Location: In-person at the NYC HQ in Union Square, New York City
Salary: $175K–$300K annually, plus equity
Company
is building an AI-native video platform that uses natural language to orchestrate video production and editing through contextual models and agents.
What you will do
- Design and build end-to-end agentic systems for creative video tasks.
- Develop training and adaptation methods for the large language models powering these agents.
- Create objectives, datasets, and fine-tuning strategies to improve agent behavior and reliability.
- Explore multimodal reasoning and structured generation for creative control.
- Run systematic experiments and design evaluation frameworks for video analysis and editing workflows.
- Analyze failure modes across planning, tool use, and execution, then iterate on improvements.
Requirements
- BS, MS, or PhD in computer science, machine learning, or a related field.
- Strong track record building production machine learning systems or agentic pipelines.
- Deep understanding of transformers and modern large language model techniques.
- Experience with fine-tuning, alignment, or post-training methods for structured outputs or tool use.
- Ability to own the full stack from model-level experiments to deployed agent systems.
- Strong experimental rigor and practical judgment about agent performance.
Culture & Benefits
- Comprehensive medical, dental, and vision plans.
- 401(k) with employer match, commuter benefits, and generous paid time off.
- Catered lunches multiple days per week and a dinner stipend for late work.
- Grubhub subscription and health and wellness benefits.
- Multiple team offsites each year and monthly team events.
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