Machine Learning Engineer
vor 2 Wochen
About Chaos
Chaos is a leading global provider of 3D visualization software solutions, empowering creatives across various industries to bring their imagination to life. With a rich history of innovation, Chaos has been recognized with prestigious awards, including Emmys and Academy Awards, for its contributions to television and film.
Job Summary
We are seeking a highly skilled Machine Learning Engineer to join our team. As a key member of our engineering team, you will design, develop, and optimize machine learning models to enhance our 3D visualization software solutions. Your expertise will play a crucial role in shaping the future of our products and driving innovation in the industry.
Main Responsibilities
- Machine Learning Model Development
- Design and develop machine learning models to improve asset generation, render enhancement, scene intelligence, and intuitive design interactions.
- Collaborate with cross-functional teams to define product requirements and scope of delivery.
- Team Collaboration and Mentorship
- Mentor other engineers and contribute to the growth of the team's knowledge and expertise in machine learning.
- Collaborate with cross-functional teams to understand requirements and gather feedback to refine initiatives.
- Technical Expertise
- Stay updated on the latest developments in machine learning, natural language processing, and 3D visualization.
- Implement cutting-edge techniques to enhance our solutions.
- Quality and Documentation
- Ensure high-quality code and documentation, following best practices in software development and machine learning.
Requirements
- Master's or Ph.D. in Computer Science, Machine Learning, or a related field.
- 5+ years of experience in developing machine learning models and deploying them in production environments.
- Strong expertise in one or more relevant fields, including 3D computer graphics, geometry processing, asset generation, scene understanding, natural language processing, real-time collaboration, and intelligent design optimization techniques.
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch.
- Excellent problem-solving skills and ability to work independently as well as in a team.
- Strong communication, collaboration, and leadership skills, with the ability to guide and mentor team members.
Why Chaos?
At Chaos, we offer a dynamic and international work environment that fosters learning and knowledge-sharing. Our team is passionate about innovation and committed to delivering exceptional results. We provide a competitive remuneration package, supplemental health insurance, and a strong focus on work-life balance. We also offer opportunities for continuous professional development, including technical training programs, certifications, and conference attendance.
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