Principle Data Scientist – EdTech
Remote

About:
We are an educational startup dedicated to building the new foundations of education. Our mission is to ensure everyone on the planet has access to the best learning resources regardless of their geographic location, socio-economic status, race, color, or creed. Founded by one of the US’s oldest tutoring companies, we are well-established, funded, and deeply committed to enabling the world’s best learning experiences with innovation and research. 

Why Join Us:
We are BIG thinkers who understand our role in the world as movers and shakers in the educational sector. We embrace challenges with emboldened excitement, understanding that challenges are opportunities to build better systems and tools that serve the planet.   Here,  you will have the opportunity to try new approaches, pioneer new systems, and create a just world with democratized education for all. Join our work, contribute to shaping our culture, and revolutionize education in the new AI epoch.

About the Team:
We are a pioneering AI team committed to spearheading innovation in leveraging cutting-edge technologies in foundation models to enhance educational experiences, Our team culture cherishes the “First Principles Thinking” approach, and we deeply value understanding things at their core and focusing on delivering solid, well-grounded solutions.

Description:
We are looking for a candidate with a proven track record in applied ML research/engineering. You will lead the development by training large-scale multimodal (2D/3D vision-language) models on distributed backends, deployment of compact neural architectures efficiently on device, and learning policies that can be personalized to the user in a privacy-preserving manner. Ensuring quality in the wild, with an emphasis on fairness and model robustness, would constitute an important part of the role. You will be interacting very closely with a variety of ML researchers, software engineers, hardware & design teams cross-functionally. The primary responsibilities of the role would center on enriching the multimodal capabilities of large language models. The user experience initiative would focus on aligning image/video/text content to the space of LMs for visual actions & multi-turn interactions.

The Role:

• Build and lead a team of engineers and data scientists researching and developing flexible generative multimodal LLMs

• Collaborate closely with cross-functional teams to identify and explore potential applications of large language models (LLMs) in multimodal psychological and educational data. 

•  Proficiency in training, fine-tuning, and deploying LLMs, as well as staying up-to-date with the latest advancements and research in the field, is essential. 

• Develop and deploy models and algorithms to analyze and extract insights from large data sets, including psychological, academic, browsing, and interests, that can be utilized to develop student and teacher profiles.

• Adopt and evaluate existing methods and tools, establish and maintain computational infrastructure and analytic pipelines in the lab

• Ensure the accuracy, reliability, and scalability of the machine learning models and algorithms developed. 

• Collaborate with data engineering teams to ensure seamless integration and deployment of LLM models into production environments. 

Qualifications:

• Master’s degree in Behavioral Data Science, Data Science, Machine Learning, Applied Mathematics, or a related field, coupled with a minimum of 5+ years of professional experience in a relevant field. (Education/Psychology/Computer Vision)

• Outstanding Machine Learning in Self-supervised learning, FER, Transfer learning, Multimodal learning, and Deep learning

• Strong practical experience with deep learning frameworks such as TensorFlow, Keras, or PyTorch

• The passion and desire to make a meaningful impact for learners across the globe

• Excellent communication skills, with the ability to effectively convey complex concepts to a non-technical audience

• Highly self-motivated and capable of working independently with minimal supervision

• Ability to adapt and thrive in a fast-paced and multifaceted research and development environment. 

Preferred Qualifications:

• A PhD in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, or equivalent).

• 10+ years of experience working in data science in a consumer product company.

• 5+ years of experience managing Machine Learning Scientists, Data Scientists, Research Scientists, Applied Scientists, and/or Economists.

• Extensive knowledge and practical experience in several of the following areas: machine learning, statistics, NLP, deep learning, recommendation systems, dialogue systems, information retrieval, XGBoost, LightGBM, and ElasticNet.

• Demonstrated industry leadership in the fields of Database and/or Data Warehousing, Data Sciences, and Big Data processing.

• Deep understanding of data, applications, server, and network security

• Successful record of developing less experienced team members to a successful career track.

Salary Range: $200-300k

Benefits: 

• Fully Remote

• Equity options

• Health Insurance

• Dental Insurance

• Paid sick time

• Paid time off

• Parental leave

• Vision insurance

• Family First Culture