TL;DR
Research Scientist (AI): Developing and refining cutting-edge audio and video generation models with an accent on post-training optimization, reward modeling, and human feedback integration. Focus on designing robust evaluation frameworks, identifying model failure modes, and implementing targeted interventions to elevate video generation quality.
Location: Onsite in Jerusalem, Israel.
Company
hirify.global is an AI-first company creating next-generation content creation technology, known for pioneering products like Facetune and the open-source generative video model LTX-2.
What you will do
- Develop and implement post-training pipelines including RLHF, DPO, and preference-based optimization.
- Fine-tune and control VLLMs specifically for video and audio understanding.
- Design and iterate on quality evaluation metrics and systematic frameworks.
- Perform failure mode analysis to identify and address model quality gaps.
- Curate high-quality preference datasets and establish benchmarks.
- Collaborate with researchers to create feedback loops between human judgment and model performance.
Requirements
- Master’s degree or equivalent practical experience in computer vision or generative AI.
- Experience with post-training techniques for generative or multimodal models.
- Strong understanding of evaluation methodology and benchmark design.
- Proficiency in software engineering and complex ML training infrastructure.
- Knowledge of statistics, experimental design, and perceptual quality assessment.
- Proven ability to translate subjective quality assessments into actionable model improvements.
Culture & Benefits
- Daily door-to-door shuttles and Car-to-go subscriptions in central Israel.
- Two on-site chef-led restaurants and an in-office bakery.
- Access to professional training workshops and cutting-edge AI tools.
- Emphasis on structured growth and responsible AI usage guidelines.
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