Principal AI Engineer
Description For Principal AI Engineer
Xsolla, a global leader in video game commerce since 2005, is seeking an experienced Principal AI Engineer to lead and drive AI projects from conception to deployment. The ideal candidate will have extensive experience in AI, a deep understanding of Generative AI, and proficiency in working with APIs for AI models like LLaMA from Meta.
As a Principal AI Engineer, you will work closely with cross-functional teams to design, develop, and implement cutting-edge AI models and systems. Your responsibilities will include conducting research to advance the state-of-the-art in AI, leading the design and deployment of AI solutions, collaborating with data scientists and product managers, and mentoring junior engineers.
Key responsibilities:
- Conduct research in Generative AI
- Lead AI model design and deployment
- Collaborate with cross-functional teams
- Work with AI model APIs (e.g., LLaMA)
- Mentor junior engineers
- Ensure scalability and reliability of AI systems
- Develop and maintain documentation
- Communicate complex technical concepts effectively
Requirements:
- Extensive experience with AI frameworks and libraries
- Strong understanding of Generative AI techniques
- Experience with AI model APIs (e.g., LLaMA)
- Proficiency in deep learning model design and implementation
- Experience with cloud platforms for AI and machine learning
- Degree in Computer Science, AI, Machine Learning, or related field
Xsolla offers a comprehensive benefits package, including 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a 401(k) with 4% company match. They are committed to personal and professional development, offering personalized career roadmaps and various growth opportunities.
Join Xsolla to be part of a dynamic team dedicated to innovating in the gaming industry while enjoying a supportive work environment that values your well-being and career growth.
Responsibilities For Principal AI Engineer
- Conduct research to advance the state-of-the-art in AI, focusing on Generative AI.
- Lead the design, development, and deployment of AI models and solutions.
- Collaborate with data scientists, engineers, and product managers to integrate AI solutions into products and services.
- Work with APIs for AI models, such as LLaMA from Meta, to enhance and customize AI functionalities.
- Mentor and guide junior engineers, fostering a culture of innovation and collaboration.
- Ensure the scalability, performance, and reliability of AI models and systems.
- Develop and maintain documentation related to AI models, algorithms, and systems.
- Communicate complex technical concepts and solutions to stakeholders clearly and effectively.
- Drive the adoption of best practices in AI and machine learning across the organization.
Requirements For Principal AI Engineer
- Extensive experience with AI frameworks and libraries.
- Proven experience as a Principal AI Engineer, AI Scientist, or similar senior role.
- Strong understanding of Generative AI techniques and models.
- Experience working with APIs for AI models, such as LLaMA from Meta.
- Strong understanding of statistical methods, data structures, and algorithms.
- Proficiency in designing and implementing deep learning models.
- Experience with data preprocessing, feature engineering, and model evaluation.
- Excellent problem-solving skills and the ability to develop creative solutions.
- Experience with cloud platforms and tools for AI and machine learning.
- Ability to work in a fast-paced and dynamic environment.
- Degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent work experience.
Benefits For Principal AI Engineer
- 100% company-paid medical, dental, and vision plans
- Disability and life insurance
- Chiropractic coverage
- Flexible spending accounts
- Fully vested 401(k) retirement plan with 4% company match from start date
- Unlimited Flexible Time Off
- 14 paid holidays each year
- Personalized career roadmap
- In-house training
- Independent study opportunities
- Conference attendance
- Higher education opportunities
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