Machine Learning Researcher
HireTalent - Staffing & Recruiting Firm
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Manhattan, NY
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Mid-Senior level
Posted March 14, 2026
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Responsibilities
Responsibilities
- Develop computer vision systems capable of generating minutes of temporally coherent, studio-grade video no flicker, no warping, no broken details.
- Convert professional editing capabilities (relighting, grading, matting, retiming, camera movement, typography) into native model controls.
- Build quality signals and automated self-repair loops that detect and fix artifacts before delivery.
- Design multi-shot generative workflows (storyboard → shots → renders → revisions) with strong character/style continuity across scenes.
- Optimize systems for scale using:
- Model distillation & quantization
- Multi-GPU orchestration
- Streaming/progressive rendering
- Sub-second preview systems
- Develop and power a robust data engine:
- Dataset curation
- Hard-case synthesis
Not Met Priorities
What still needs stronger evidence
Requirements
- Convert professional editing capabilities (relighting, grading, matting, retiming, camera movement, typography) into native model controls.
- Model distillation & quantization
- Multi-GPU orchestration
- Streaming/progressive rendering
- Sub-second preview systems
- Dataset curation
- Hard-case synthesis
- Preference learning
- Collaboration with artists to encode editorial taste What We’re Looking For
- Deep understanding of computer vision research and literature
- Hands-on experience building CV models for images and video
- Strong expertise in generative video models (diffusion, transformers, GANs, etc.)
- Experience in training and scaling large ML systems
- Strong Python skills and proficiency with PyTorch (or similar frameworks)
- Passion for pushing the limits of generative AI Bonus Points
- Research publications in computer vision or generative modeling
- Experience building production ML systems
- Familiarity with video pipelines or creative tools
- Background working closely with creative teams
Preferred Skills
- Preference learning
- Collaboration with artists to encode editorial taste What We’re Looking For
- Deep understanding of computer vision research and literature
- Hands-on experience building CV models for images and video
- Strong expertise in generative video models (diffusion, transformers, GANs, etc.)
- Experience in training and scaling large ML systems
- Strong Python skills and proficiency with PyTorch (or similar frameworks)
- Passion for pushing the limits of generative AI Bonus Points
- Research publications in computer vision or generative modeling
- Experience building production ML systems
- Familiarity with video pipelines or creative tools
- Background working closely with creative teams
Job Title: ML Engineer / Researcher – Computer Vision (Generative Media) Location: Manhattan, NY (Onsite / Hybrid) Job Type: Full-time About the role
Build the engine behind next-generation generative video.
We’re building systems that turn ideas into studio-grade video instantly. Our mission is to put a creative studio in everyone’s hands by developing cutting-edge generative media technology that delivers cinematic, coherent, production-ready output.
We’re looking for a world-class ML Engineer / Researcher specializing in computer vision and generative video to help us redefine how video is created. What You’ll Do
Develop computer vision systems capable of generating minutes of temporally coherent, studio-grade video no flicker, no warping, no broken details.
Convert professional editing capabilities (relighting, grading, matting, retiming, camera movement, typography) into native model controls.
Build quality signals and automated self-repair loops that detect and fix artifacts before delivery.
Design multi-shot generative workflows (storyboard → shots → renders → revisions) with strong character/style continuity across scenes.
Optimize systems for scale using:
Model distillation & quantization
Multi-GPU orchestration
Streaming/progressive rendering
Sub-second preview systems
Develop and power a robust data engine:
Dataset curation
Hard-case synthesis
Preference learning
Collaboration with artists to encode editorial taste What We’re Looking For
Deep understanding of computer vision research and literature
Hands-on experience building CV models for images and video
Strong expertise in generative video models (diffusion, transformers, GANs, etc.)
Experience in training and scaling large ML systems
Strong Python skills and proficiency with PyTorch (or similar frameworks)
Passion for pushing the limits of generative AI Bonus Points
Research publications in computer vision or generative modeling
Experience building production ML systems
Familiarity with video pipelines or creative tools
Background working closely with creative teams
Build the engine behind next-generation generative video.
We’re building systems that turn ideas into studio-grade video instantly. Our mission is to put a creative studio in everyone’s hands by developing cutting-edge generative media technology that delivers cinematic, coherent, production-ready output.
We’re looking for a world-class ML Engineer / Researcher specializing in computer vision and generative video to help us redefine how video is created. What You’ll Do
Develop computer vision systems capable of generating minutes of temporally coherent, studio-grade video no flicker, no warping, no broken details.
Convert professional editing capabilities (relighting, grading, matting, retiming, camera movement, typography) into native model controls.
Build quality signals and automated self-repair loops that detect and fix artifacts before delivery.
Design multi-shot generative workflows (storyboard → shots → renders → revisions) with strong character/style continuity across scenes.
Optimize systems for scale using:
Model distillation & quantization
Multi-GPU orchestration
Streaming/progressive rendering
Sub-second preview systems
Develop and power a robust data engine:
Dataset curation
Hard-case synthesis
Preference learning
Collaboration with artists to encode editorial taste What We’re Looking For
Deep understanding of computer vision research and literature
Hands-on experience building CV models for images and video
Strong expertise in generative video models (diffusion, transformers, GANs, etc.)
Experience in training and scaling large ML systems
Strong Python skills and proficiency with PyTorch (or similar frameworks)
Passion for pushing the limits of generative AI Bonus Points
Research publications in computer vision or generative modeling
Experience building production ML systems
Familiarity with video pipelines or creative tools
Background working closely with creative teams