We are a fast-growing startup on a mission to make visual storytelling accessible to everyone. Over the past decade, visual content—especially video—has become the dominant mode of sharing information. However, producing high-quality, scalable video content is still expensive and challenging. Our team is developing technology that empowers more people to reach, captivate, and inspire audiences through cutting-edge AI solutions.
We have a proven business model, strong growth trajectory, and are quickly establishing ourselves as a leader in AI-powered video creation. Now, we’re looking for passionate Research Engineers with a deep background in Computer Vision to help drive our product innovation forward.
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Key Responsibilities
1. Applied Innovation & Product Development
o Leverage your expertise in generative models (GANs, Diffusion models, and other multi-modal frameworks) to push the boundaries of our AI-powered video creation tools.
o Translate advanced research into user-friendly product features that enhance the quality and creativity of our video platform.
2. Real-World Solutions
o Develop scalable computer vision solutions that directly impact and improve video creation workflows.
o Collaborate with product teams to iterate quickly and deliver tangible results to end users.
3. Collaborative Engineering & Growth
o Work closely with a cross-functional team that includes data scientists, engineers, and product managers.
o Foster an environment of continuous learning, mentorship, and innovation to elevate both personal skills and collective capabilities.
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Qualifications:
• Educational Background
o Master’s or PhD in Computer Science, Engineering, or a related field.
• Professional Experience
o 1–3 years of hands-on experience in machine learning and computer vision, with a proven track record of applying generative models in real-world products.
• Technical Skills:
o Proficient in Python; willingness to adapt to other languages or tools as needed.
o Experience with deep learning frameworks (e.g., PyTorch).
o Ability to quickly learn and integrate new technologies into project workflows.
• Collaboration & Communication
o Strong team player with a history of success in research or development settings.
o Excellent problem-solving abilities and communication skills, capable of thriving in a diverse, interdisciplinary environment.
• Mindset
o A passion for continuous learning, staying updated on the latest advances in AI and computer vision.
o Enthusiasm for solving complex challenges and shaping the future of video creation.
Relocation Possibility
Exceptional performance can lead to an offer for relocation assistance to either Los Angeles or the Toronto area.
Our simple 3-step process:
Answer a few questions about your experience.
Upload your CV.
Record a brief video introduction (up to 2 minutes).
***All answers must be in English.***
FAQs:
What’s the next step? If successful, you’ll have one more interview before receiving a job offer if you're a good fit.
What happens after submission? We’ll review your application within 2–3 business days and contact you if you qualify for the next stage.
When would I start? As soon as possible, with flexibility to accommodate your circumstances.
How long does it take? About 5-10 minutes to complete.
We look forward to reviewing your application!