Applied Scientist I, Artificial Generative Intelligence (AGI)

About this role

• Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML for GenAI.
• Collaborate with cross-functional teams to architect and execute technically rigorous AI projects.
• Thrive in dynamic environments, adapting quickly to evolving technical requirements and deadlines.
• Engage in effective technical communication (written & spoken) with coordination across teams.
• Conduct thorough documentation of algorithms, methodologies, and findings for transparency and reproducibility.
• Publish research papers in internal and external venues of repute
• Support on-call activities for critical issues
  
  

• Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
• Experience building machine learning models or developing algorithms for business application
• Knowledge of programming languages such as C/C++, Python, Java or Perl
• 2-7 years experience in deep learning, machine learning, and data science.
• Proficiency in coding and software development, with a strong focus on machine learning frameworks.
• Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
• Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting.
  
  

• Have publications at top-tier peer-reviewed conferences or journals
• Advanced degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
• Track record of diving into data to discover hidden patterns and conducting error/deviation analysis
• Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations
• Exceptional level of organization and strong attention to detail
• Comfortable working in a fast paced, highly collaborative, dynamic work environment