Machine Learning Engineer at True3D

True3D is bringing 3D videos to the world.

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:

• Lead Research Efforts: Direct and oversee all research activities, setting the strategic direction for the team's projects.

• Iterate on Foundational Models: Lead the development and enhancement of our core machine learning models.

• Publish and Present: Contribute to the scientific community by publishing papers and presenting at conferences.

• Collaborate Across Teams: Work closely with engineering, product, and leadership teams to align research goals with company objectives.

• Mentor and Develop Team Members: Build and nurture a high-performing research team, fostering professional growth and knowledge sharing.

• Stay Ahead of Industry Trends: Monitor emerging technologies and methodologies to ensure the company remains at the cutting edge of ML research. Qualifications:

• Top 1% in any Competitive Video Game or Sport: Our entire team is comprised of competitive gamers, please include evidence in your application

• Educational Background: Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field.

• Research Experience: Proven track record of published research in neural networks, diffusion models, and spatial intelligence.

• 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.

• 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.

• Leadership Skills: Demonstrated ability to lead research teams and manage complex projects.

• Strategic Thinking: Ability to align research initiatives with business objectives and market needs.

• Communication Skills: Excellent written and verbal communication skills, with the ability to articulate complex concepts to diverse audiences.