ML Engineer II

What the Candidate Will Need / Bonus PointsWhat the Candidate Will Do Design and develop large-scale machine learning models systemsCollaborate with backend and frontend engineers to integrate your solutions into our products & platforms.Write clean, modular, and maintainable code.Conduct code reviews and ensure high code quality standards.Keep up to date with the latest ML technologies and best practices.Basic Qualifications Ph.D., MS, or Bachelors degree in Computer Science or a closely related discipline.Proficiency in Computer Vision (CV), Natural Language Processing (NLP), or Deep Learning, with a solid grasp of the latest advancements in Generative AI.Exceptional coding skills, demonstrated by the ability to write clean, elegant, and bug-free code in languages such as Java or Go.Strong desire for continuous learning and professional growth, coupled with a commitment to developing best-in-class systems.Excellent problem-solving and analytical abilities.Proven ability to collaborate effectively as a team player.Preferred Qualifications 2+ years of industry experience in ML/AI.Proven track record of training large models on distributed infrastructure.Demonstrated ability to rapidly prototype, signaling curiosity and an experimental approach.Experience collaborating effectively across an organization, not limited to just within teams. .