Lead AI Engineer

Lead AI Engineer - 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:
Are you ready to be one of the founding members of a new engineering team focused on pioneering creative AI educational resources? You will take ownership of defining, planning, and crafting the overall system architectures for key product areas and driving end-to-end feature development. You will be responsible for developing state-of-the-art algorithms to power the next-generation tools for students and educators. This is a highly collaborative role with the opportunity to evolve in many directions.

What you'll do:

• Build and lead a team of AI researchers and engineers
• Deploy, prompt, and fine-tune cutting-edge foundation multimodal models
• Apply foundation models to enhance our curriculum delivery system and product offerings
• Collaborate with cross-functional teams, including product managers, data scientists, and product engineers, to form and solve problems, refine machine learning algorithms, and communicate results
• Regularly run A/B tests, perform analyses, and iterate algorithms based on results
• Work with infrastructure teams on improving the efficiency and stability of machine learning systems
• Develop LMS integrations enabling the use of multiple existing models

Qualifications

• Hands-on experience in one or more of the following areas: Machine Learning, Deep Learning, Recommender Systems, Data Mining, Natural Language Processing, or Computer Vision
• Strong programming skills in Python and/or C/C++, and a deep understanding of data structures and algorithms
• Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet/etc.)
• Excellent communication, teamwork skills, and a passion for learning new techniques and tackling challenging problems

Preferred Qualifications:

• Prior research/industry experience with deploying, prompting, and fine-tuning foundation models and multimodal models
• Prior research/industry experience using AI/ML to develop psychological profiles.
• Prior research/industry experience with applied machine learning, or large-scale recommendation systems
• Publications at major AI-related conferences such as NeurIPS, ICML, ICLR, AAAI, IJCAI, ACL, NAACL, EMNLP, CVPR, ICCV, ECCV, KDD, ICDM, SDM, RecSys, or simply on arXiv but with large impact
• Strong track record in AI-related competitions, or participation in public/open-source AI-related projects of high visibility
• A strong passion for axiomatization and novel systems

Salary: $200-320k (based on experience)

Benefits:

• Fully Remote
• Equity options
• Health insurance
• Dental insurance
• Paid sick time
• Paid time off
• Parental leave
• Vision insurance
• Family First Culture