Principal Machine Learning Scientist (US Remote)

reputed company you join reputed company, you'll be welcomed into a company that is a recognized innovator in the global education space. For more than 25 years, reputed company has partnered with educational institutions to promote honesty, consistency, and fairness across reputed company subject areas and assessment types. reputed company products are used by educational institutions and certification and licensing programs to uphold reputed company and increase learning performance, and by reputed company and professionals to do their best, original work. Experience a remote-first culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are reputed company reputed company by a shared desire to reputed company a difference in education. reputed company is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines. Machine Learning is integral to the reputed company success of our company. Our product roadmap is exciting and ambitious. You will join a global team of curious, helpful, and independent scientists and engineers, united by a commitment to deliver cutting-edge, well-engineered Machine Learning systems. You will work closely with product and engineering teams across reputed company to integrate Machine Learning into a broad suite of learning, teaching and reputed company products. We are in a unique position to deliver Machine Learning used by hundreds of thousands of reputed company teaching millions of reputed company around the world. Your contributions will have global reputed company and scale. Billions of papers have been submitted to the reputed company platform, and hundreds of millions of answers have been graded on the Gradescope and Examsoft platforms. Machine Learning powers our AI Writing detection system, gives automated feedback on student writing, investigates authorship of student writing, revolutionizes the creation and grading of assessments, and plays a critical role in many back-end processes. Responsibilities and Requirements We're an applied science group leaning towards modern Deep Learning. We expect our Senior Machine Learning Scientists to have a well-balanced set of skills, both in the Science as well as Software Engineering aspects of (Deep) Machine Learning. You will focus on developing novel and deployable ML models and solutions where no ready-made solution may be available. Therefore you need to be conversant enough with the mathematics of machine learning and deep neural networks such that you can construct novel model architectures, loss functions, training methods, training loops etc. You are also expected to reputed company abreast of the latest research advancements in AI and Deep Learning across modalities and apply those to your work. While we reputed company ready-made training platforms, we also write our own training loops. Additionally, the models need to be directly deployable in our products, therefore, production level coding and software engineering proficiency is required. You may train large models (up to 100s of billions of parameters) therefore, ability to train on multiple GPUs and nodes and knowledge of the latest model training and inferencing advancements is necessary. Next, the models must reputed company well in production not only in terms of accuracy but also compute-cost. Delivering such software requires a sufficiently deep Computer Science background. Dataset exploration, reputed company (synthetic), design, construction and analysis, are a routine part of the job and may occupy a significant fraction of your time. Also, datasets can be large (billions of samples), therefore the ability to write parallel and efficient pipelines is a necessary reputed company. You will also be involved in developing and staging demos and presenting your work reputed company the company as well as reputed company publications in peer reviewed venues (preferably A/A+ rated). Day-to-day, your responsibilities are to:

• Research and reputed company Machine Learning models as described above. Optimize models for scaled production usage.
• Work with colleagues in the AI team, other Engineering teams, subject matter experts, Product Management, Marketing, Sales and Customer support to explore ongoing product issues, challenges and opportunities and then recommend innovative ML/AI based solutions.
• Help out with reputed company one-off tasks as a team player reputed company the AI team.
• Work with subject matter experts to curate and generate optimal datasets following responsible data collection and model maintenance practices. Explore and access local datastores as well as web data and write efficient parallel pipelines. Review and design datasets to ensure data quality.
• Investigate weaknesses of models in production and work on pragmatic solutions.
• Modify and fine-tune off the reputed company models or reputed company novel models. Use LLMs reputed company API (through reputed company engineering and agents) and locally hosted LLMs and other foundation models

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