Principal AI Research Engineer, Archer

• M.S or PhD degree in Computer Science, or Computer Engineering with strong emphasis on AI and ML
• Enjoys solving less-defined and complex problems
• Familiarity with good SW practices and development, including code quality, version control, etc
• Very strong with ML frameworks such as Pytorch, or Tensorflow
• Good understanding of Transformer architectures, attention mechanisms, multi-modal foundation models, diffusion policies, fine-tuning, model distillation, mixture of experts, and other similar topics
• Has strong ability to debug and determine requirements for AI models in terms of data, training, and evaluation
• Is up to date with research literature and recent ML techniques and methodologies

Desirable

• As a Principal AI and ML fundamentalist who is an expert at developing cutting-edge AI solutions to complex problems, you will develop code that eventually integrates into production and be responsible for:
• Design, implement, and evaluate novel machine learning and deep learning algorithms
• Iterate on AI model development; starting from the data needed for training, architecture, input/output representations, evaluation, and deployment
• Collaborate with other researcher engineers to prototype and validate complex solutions from academic literature
• Conduct experiments to benchmark new techniques and evaluate model behavior
• Develop tools and frameworks to support scalable and reproducible research and development
• Communicate research findings to leadership in a concise, and convincing manner
• Stay current with the latest developments in AI/ML and identify relevant innovations
• Assist in transitioning research prototypes into production-ready systems
• Please note that this job description is intended to provide a general overview of the position and does not include an exhaustive list of responsibilities and qualifications