We are seeking a visionary Chief Scientist to lead our research initiatives and drive the evolution of our foundational models. The ideal candidate will have a strong background in machine learning, with a focus on neural networks, diffusion models, and spatial intelligence. This role offers the opportunity to shape the future of our technology and make a significant impact on the industry.
Key Responsibilities:
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Lead Research Efforts: Direct and oversee all research activities, setting the strategic direction for the team's projects.
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Iterate on Foundational Models: Lead the development and enhancement of our core machine learning models.
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Publish and Present: Contribute to the scientific community by publishing papers and presenting at conferences.
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Collaborate Across Teams: Work closely with engineering, product, and leadership teams to align research goals with company objectives.
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Mentor and Develop Team Members: Build and nurture a high-performing research team, fostering professional growth and knowledge sharing.
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Stay Ahead of Industry Trends:
Monitor emerging technologies and methodologies to ensure the company remains at the cutting edge of ML research.
Qualifications:
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Top 1% in any Competitive Video Game or Sport: Our entire team is comprised of competitive gamers, please include evidence in your application
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Educational Background: Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
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Research Experience:
Proven track record of published research in neural networks, diffusion models, and spatial intelligence.
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Technical Expertise:
- Deep understanding of machine learning algorithms and architectures.
- Experience with large-scale model training and deployment.
- Proficiency in programming languages such as Python, and frameworks like TensorFlow or PyTorch.
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Leadership Skills: Demonstrated ability to lead research teams and manage complex projects.
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Strategic Thinking: Ability to align research initiatives with business objectives and market needs.
About True3D
True3D is bringing 3D videos to the world.
Application Requirements
Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field, Top 1% in any Competitive Video Game or Sport (with evidence), Proven track record of published research in neural networks, diffusion models, and spatial intelligence, Deep understanding of machine learning algorithms and architectures, Experience with large-scale model training and deployment, Proficiency in Python, TensorFlow or PyTorch, Demonstrated leadership in research teams and project management, Strategic thinking to align research with business objectives, Excellent written and verbal communication skills